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  • [Solved] Mathematics – Statistics Application Assignment 1: Understanding Your Community’s Needs

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    r Community's Needs **Due: Sun Sep 7, 2025 11:59pmDue: Sun Sep 7, 2025 11:59pm** Ungraded, 5 Possible Points5 Points PossibleAttemptIn Progress **NEXT UP: Submit AssignmentUnlimited Attempts Allowed** Available until Sep 7, 2025 11:59pmAvailable until Sep 7, 2025 11:59pm **Objective:** To apply fund…

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    r Community's Needs **Due: Sun Sep 7, 2025 11:59pmDue: Sun Sep 7, 2025 11:59pm** Ungraded, 5 Possible Points5 Points PossibleAttemptIn Progress **NEXT UP: Submit AssignmentUnlimited Attempts Allowed** Available until Sep 7, 2025 11:59pmAvailable until Sep 7, 2025 11:59pm
    **Objective:** To apply fundamental statistical concepts and qualitative data visualization techniques to a real-world community issue, demonstrating critical thinking about data collection and interpretation.
    **Your Scenario: Community Engagement and Local Issues**
    You are a **Junior Community Data Analyst** for the "Citizens for a Better Spotsylvania" organization. This organization aims to empower local residents by providing data-driven insights into issues that matter to them. Your first task is to help them understand public opinion on local community services and how residents engage with local government.
    Your organization has recently conducted a small pilot survey. You need to present the findings from this pilot in a clear, concise, and impactful visual summary that defines the terms used, explains the methods, and highlights key initial findings.
    **Your Data:** You can locate the data within StatCrunch under the same title as this assignment " **Application Assignment 1: Understanding Your Community's Needs**"
    **Your Deliverable: "Community Engagement Insights" One-Pager/Infographic**
    Create a single page (or a digital infographic, max 2 pages) that visually summarizes your findings and methodology. This should be clear, concise, and persuasive for local leaders. You can use tools like Google Slides, PowerPoint, Canva, Piktochart, or a well-organized Word/Google Doc.
    **Your One-Pager/Infographic MUST include the following sections/elements:**
    1. **Catchy Title:** A clear and engaging title for your report (e.g., "Pulse of Our Town: Key Citizen Insights").
    2. **The "Big Picture" (Core Concepts):**
    – **Population & Sample:** Clearly define who the _population_ is that "Citizens for a Better Spotsylvania" wants to learn about, and describe the _sample_ used in this pilot survey (e.g., how were these 50 residents chosen, even if it was just a convenience sample for the pilot?).
    – **Parameter & Statistic:** If the organization aims to understand the _proportion of residents who trust local government_, identify what the _parameter_ would be and what the _statistic_ is from this pilot survey data.
    – **Study Goal:** Is the primary goal of this pilot study **Descriptive** or **Inferential**? Briefly explain why, relating it to the idea of a pilot study.
    3. **Data at a Glance (Variable Types & Qualitative Graphs):**
    – For the variable **"Primary Method of Contacting Local Govt"**:
    – Identify its **variable type** (Qualitative, Quantitative Discrete, or Quantitative Continuous).
    – Create **one appropriate graph** (Bar, Pareto, or Pie Chart) using StatCrunch that best visualizes the _frequency_ of responses for this variable. Include the graph on your one-pager.
    – **Insights:** What does this graph immediately tell "Citizens for a Better Spotsylvania" about how people typically contact local government?
    – For the variable **"Preferred Public Service Improvement"**:
    – Identify its **variable type**.
    – Create **one appropriate graph** (Bar, Pareto, or Pie Chart) using StatCrunch that best visualizes the _relative frequency_ of responses for this variable. Include the graph.
    – **Insights:** Which service improvement seems to be the highest priority based on this data? How might this guide the organization's advocacy efforts?
    4. **Sampling & Bias Considerations:**
    – **Pilot Study Method:** Briefly describe what type of sampling method was _likely_ used for this small "pilot survey" (e.g., Convenience, Voluntary Response, or perhaps a simple attempt at a random method). Based on your notes, briefly explain why this method might lead to a **biased sample** for a larger, more definitive study.
    – **Potential Non-Sampling Error:** Identify one specific type of **non-sampling error** (from your notes, e.g., response error, non-response error, coverage error) that could plausibly occur in a survey like this. Briefly explain _how_ it might affect the results if not addressed.
    5. **Looking Ahead (Future Study Design):**
    – If "Citizens for a Better Spotsylvania" wanted to conduct a _larger, more rigorous study_ to get a truly representative sample of **all adult residents** in your town, which **probability sampling method** (Simple Random Sample, Stratified Sample, Cluster Sample, or Systematic Sample) would you recommend?
    – Briefly explain _why_ this chosen probability method would be better than the pilot study's likely method for ensuring the sample is representative.
    **Submission Instructions:**
    – Submit your "One-Pager" or Infographic as a PDF file through this Canvas assignment.
    – Ensure all text is legible and your design is clear and well-organized. Include graph titles and labels.
    – Ensure all graphs/tables/statistical outputs come from StatCrunch.
    – Review the Rubric before submitting.

  • [Solved] Application

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    **Objective:** To apply core probability concepts and contingency table analysis to real-world community data, understand independence between categorical variables, and visually present findings for public understanding. **Your Scenario: Local Government & Citizen Engagement** You are a **Data Stor…

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    Assignment Prompt & Instructions

    **Objective:** To apply core probability concepts and contingency table analysis to real-world community data, understand independence between categorical variables, and visually present findings for public understanding.
    **Your Scenario: Local Government & Citizen Engagement**
    You are a **Data Storyteller** for a non-profit called "Empower Local Voices," which aims to improve citizen engagement with local government. Your latest project involves analyzing data from a recent city survey to understand how different groups of residents participate in local decision-making and what their priorities are.
    You need to create a visual report (one-pager/infographic) that clarifies key probability concepts using the survey data and presents crucial findings about resident engagement patterns to the public.
    **Your Data:** You can locate the data within StatCrunch under the same title as this assignment **"Application Assignment 2: Analyzing Community Decisions & Opinions"**
    **Your Deliverable: "Citizen Engagement Insights" One-Pager/Infographic**
    Create a single page (or a digital infographic, max 2 pages) that visually summarizes your findings and clarifies key probability concepts. It should be persuasive and easy for local residents to understand. You can use tools like Google Slides, PowerPoint, Canva, Piktochart, or a well-organized Word/Google Doc.
    **Your One-Pager/Infographic MUST include the following sections/elements:**
    1. **Catchy Title:** A clear and engaging title for your report (e.g., "Understanding Our City's Voice: Engagement & Preferences").
    2. **Probability Basics Explained (for the Public):**
    – Choose one simple event from your data (e.g., "a resident is in the 'Over 50' age group").
    – Calculate its **Empirical Probability** based on your sample data.
    – Explain to a layperson (e.g., in a small text box on your infographic):
    – What is an "Outcome" and "Sample Space" in the context of this survey?
    – What is **Empirical Probability** (using your chosen event as an example)?
    – What is a **Complementary Event** (using your chosen event as an example) and how would you calculate its probability?
    3. **Cross-Tabulation & Joint/Marginal Probabilities:**
    – Use StatCrunch to create a **Contingency Table**(Frequency Table) for **"Age_Group" (Row Variable)** by **"Engaged_in_Last_Election" (Column Variable)**. Include this table on your one-pager.
    – From this table, present the following probabilities for a randomly selected resident:
    – **Marginal Probability:** Find the probability that someone engaged in the last election. Give as a properly rounded decimal.
    – **Joint Probability:** Find the probability that they _did not_ engage in the last election **and** were under 30 years old. Give as a properly rounded decimal.
    – **Insights:** What do these probabilities tell "Empower Local Voices" about overall engagement and specific age group involvement?
    4. **Conditional Probability in Action:**
    – Using your contingency table from Section 3, calculate the following **conditional probability**: that someone who is over 50 engaged in last election. Give as a properly rounded decimal.
    – Explain what this conditional probability _means_ in plain language. Why might a local government official be particularly interested in this specific conditional probability (instead of just the overall marginal probability of engagement)?
    5. **Testing for Independence (Chi-Square Test):**
    – Use StatCrunch to perform a **Chi-Square Test for Independence** on the "Age_Group" and "Engaged_in_Last_Election" variables. Include the p-value from your StatCrunch output on your one-pager.
    – **Hypotheses:** State the Null Hypothesis (Ho) and Alternative Hypothesis (Ha) for this test.
    – **Conclusion:** Give the p-value from StatCrunch and  state whether you find evidence of **independence** or **dependence** between Age_Group and Engagement in the Last Election, given a significance level of α=0.05.
    – **Implications:** What does this conclusion mean for "Empower Local Voices" and their strategies for encouraging participation? (e.g., Do they need targeted strategies for different age groups, or a more general approach?)
    6. **Ethical Consideration & Law of Large Numbers:**
    – **Ethical Reflection:** This pilot survey has a limited sample size of 200. Briefly explain one potential **ethical concern** related to making major policy decisions based _only_ on the results of such a small survey.
    – **Law of Large Numbers:** If "Empower Local Voices" were to conduct a much larger survey (e.g., 20,000 residents), how would the **Law of Large Numbers** apply to the empirical probabilities they calculate (like the probability of "Engaged_in_Last_Election = Yes")?

  • [Solved] What is the meaning of life

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    Case Study: Simple Analysis of Variance Assignment

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    Case Study: Simple Analysis of Variance Assignment

  • [Solved] Statistical Data Mining – D600

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    In-depth study guidance and analytical solution covering Statistical Data Mining – D600.

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  • [Solved] Statistics 2B

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    Assist with assignment – ## Assignment2-20252.docx **## Assignment2-20252.docx** **Question 1[38 marks]** 1.1 [11] The Mendelian theory states that the number of a certain type of peas falling into the classifications round and yellow, wrinkled and yellow, round and green, and wrinkled and green…

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    Assist with assignment

    – ## Assignment2-20252.docx

    **## Assignment2-20252.docx**

    **Question 1[38 marks]**

    1.1 [11]

    The Mendelian theory states that the number of a certain type of peas falling into the classifications round and yellow, wrinkled and yellow, round and green, and wrinkled and green should be in the ratio 9:3:3:1. Suppose that 100 such peas revealed 56, 19,17, and 8 in the respective categories. Are these data consistent with the model? Use 0.05 level of significance.

    1.2 [16]

    Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 young adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level.

    | | | | | |
    | — | — | — | — | — |
    | Person’s Age<br>18-23 yr 24-29 yr 30-35 yr Row Total<br>Movie 18–23 yr 24–29 yr 30–35 yr Row Total |
    | Drama | 8 | 15 | 11 | 34 |
    | Science fiction | 12 | 10 | 8 | 30 |
    | Comedy | 9 | 8 | 12 | 29 |
    | Column Total | 29 | 33 | 31 | 93 |

    1.3 [11]

    The number of accidents experienced by machinists in a certain industry were observed for a fixed period of time, with the results as shown in the companying table. Test, at the 5% level of significance, the hypothesis that data come from a Poisson.

    | | |
    | — | — |
    | Accident per Machinist | Frequency of Observation (number of machinists) |
    | 0 | 296 |
    | 1 | 74 |
    | 2 | 26 |
    | 3 | 8 |
    | 4 | 4 |
    | 5 | 4 |
    | 6 | 1 |
    | 7 | 0 |
    | 8 | 1 |

    **Question 2 [40 marks]**

    For the following time series

    | | | | |
    | — | — | — | — |
    | **Quarter** | **Year** |
    | | 2008 | 2009 | 2010 |
    | 1 | 26 | 32 | 34 |
    | 2 | 50 | 62 | 70 |
    | 3 | 40 | 49 | 50 |
    | 4 | 33 | 41 | 15 |

    2.1 Compute the 4-period centered moving averages. [4]

    2.2 On the same axes, produce two-line graphs comparing the actual time series to the 4-period centered moving average values.
    **Use the graph paper**.

    (Use 1 cm to represent 10 thousand units on the vertical axis) [4]

    2.3
    Compute the seasonal indexes. [10]

    2.4 De-seasonalise the quarterly time series and interpret the first de-seasonalised value.

    [6]

    2.5
    Use the method of least squares from regression analysis to determine the trend line of best fit. Use the zero-sum method for coding. [10]

    2.6 Using the trend line you produced in 2.5, estimate the trend value of the time series for Quarter 3 in year 5. [3]

    2.7 Find the seasonally-adjusted trend estimate value for Quarter 3 of year 5. [3]

    **Question 3[12 marks]**

    The Johnson Wholesale Company manufactures a variety of products. The prices and quanties produced for April 1994 and April 2003 are:

    | | | | | |
    | — | — | — | — | — |
    | | 1994 | 2003 | 1994 Quantity | 2003 Quantity |
    | Product | Price (N$) | Price (N$) | Produced | Produced |
    | Small motor(each) | 236 | 288 | 1760 | 4259 |
    | Scrubbing compound( 5 litres) | 296 | 308 | 86450 | 62949 |
    | Nails(per half kg) | 40 | 48 | 9460 | 22370 |

    3.1 Use 1994 as the base period to compute and interpret the price relative for 2003 for

    **_Small motor_** [2]

    3.2 Compute and interpret the quantity relative for
    **_Nails_** [2]

    3.3 Construct a price index to reflect the overall change in prices of the production of the items for the period 1994 – 2003. Use the Laspeyres approach. Interpret your price index. [4]

    3.3 Construct a quantity index to reflect the overall change in quantities of the production of the items for the period 1994 – 2003. Use the Paasche approach. Interpret your index. [4]

    **Question 4 [10 marks]**

    Assume the following are quarterly sales recorded for the period 2008-2011 of Food Lovers shop (in millions of NS).

    | | | |
    | — | — | — |
    | Year | Quarter | Sales |
    | 2008 | 1 | 170 |
    | | 2 | 187 |
    | | 3 | 196 |
    | | 4 | 204 |
    | 2009 | 1 | 153 |
    | | 2 | 195 |
    | | 3 | 162 |
    | | 4 | 144 |
    | 2010 | 1 | 188 |
    | | 2 | 196 |
    | | 3 | 150 |
    | | 4 | 194 |
    | 2011 | 1 | 154 |
    | | 2 | 190 |
    | | 3 | 159 |
    | | 4 | 140 |

    4.1 Compute the exponential smoothed sales for

    (i) ,

    (ii) [4]

    4.2 Use the Root mean squares error (RMSE) test to determine which -value produces a better forecast. [6]

    **## Assignment2-20252.docx**

    **Question 1[38 marks]**

    1.1 [11]

    The Mendelian theory states that the number of a certain type of peas falling into the classifications round and yellow, wrinkled and yellow, round and green, and wrinkled and green should be in the ratio 9:3:3:1. Suppose that 100 such peas revealed 56, 19,17, and 8 in the respective categories. Are these data consistent with the model? Use 0.05 level of significance.

    1.2 [16]

    Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 young adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level.

    | | | | | |
    | — | — | — | — | — |
    | Person’s Age<br>18-23 yr 24-29 yr 30-35 yr Row Total<br>Movie 18–23 yr 24–29 yr 30–35 yr Row Total |
    | Drama | 8 | 15 | 11 | 34 |
    | Science fiction | 12 | 10 | 8 | 30 |
    | Comedy | 9 | 8 | 12 | 29 |
    | Column Total | 29 | 33 | 31 | 93 |

    1.3 [11]

    The number of accidents experienced by machinists in a certain industry were observed for a fixed period of time, with the results as shown in the companying table. Test, at the 5% level of significance, the hypothesis that data come from a Poisson.

    | | |
    | — | — |
    | Accident per Machinist | Frequency of Observation (number of machinists) |
    | 0 | 296 |
    | 1 | 74 |
    | 2 | 26 |
    | 3 | 8 |
    | 4 | 4 |
    | 5 | 4 |
    | 6 | 1 |
    | 7 | 0 |
    | 8 | 1 |

    **Question 2 [40 marks]**

    For the following time series

    | | | | |
    | — | — | — | — |
    | **Quarter** | **Year** |
    | | 2008 | 2009 | 2010 |
    | 1 | 26 | 32 | 34 |
    | 2 | 50 | 62 | 70 |
    | 3 | 40 | 49 | 50 |
    | 4 | 33 | 41 | 15 |

    2.1 Compute the 4-period centered moving averages. [4]

    2.2 On the same axes, produce two-line graphs comparing the actual time series to the 4-period centered moving average values.
    **Use the graph paper**.

    (Use 1 cm to represent 10 thousand units on the vertical axis) [4]

    2.3
    Compute the seasonal indexes. [10]

    2.4 De-seasonalise the quarterly time series and interpret the first de-seasonalised value.

    [6]

    2.5
    Use the method of least squares from regression analysis to determine the trend line of best fit. Use the zero-sum method for coding. [10]

    2.6 Using the trend line you produced in 2.5, estimate the trend value of the time series for Quarter 3 in year 5. [3]

    2.7 Find the seasonally-adjusted trend estimate value for Quarter 3 of year 5. [3]

    **Question 3[12 marks]**

    The Johnson Wholesale Company manufactures a variety of products. The prices and quanties produced for April 1994 and April 2003 are:

    | | | | | |
    | — | — | — | — | — |
    | | 1994 | 2003 | 1994 Quantity | 2003 Quantity |
    | Product | Price (N$) | Price (N$) | Produced | Produced |
    | Small motor(each) | 236 | 288 | 1760 | 4259 |
    | Scrubbing compound( 5 litres) | 296 | 308 | 86450 | 62949 |
    | Nails(per half kg) | 40 | 48 | 9460 | 22370 |

    3.1 Use 1994 as the base period to compute and interpret the price relative for 2003 for

    **_Small motor_** [2]

    3.2 Compute and interpret the quantity relative for
    **_Nails_** [2]

    3.3 Construct a price index to reflect the overall change in prices of the production of the items for the period 1994 – 2003. Use the Laspeyres approach. Interpret your price index. [4]

    3.3 Construct a quantity index to reflect the overall change in quantities of the production of the items for the period 1994 – 2003. Use the Paasche approach. Interpret your index. [4]

    **Question 4 [10 marks]**

    Assume the following are quarterly sales recorded for the period 2008-2011 of Food Lovers shop (in millions of NS).

    | | | |
    | — | — | — |
    | Year | Quarter | Sales |
    | 2008 | 1 | 170 |
    | | 2 | 187 |
    | | 3 | 196 |
    | | 4 | 204 |
    | 2009 | 1 | 153 |
    | | 2 | 195 |
    | | 3 | 162 |
    | | 4 | 144 |
    | 2010 | 1 | 188 |
    | | 2 | 196 |
    | | 3 | 150 |
    | | 4 | 194 |
    | 2011 | 1 | 154 |
    | | 2 | 190 |
    | | 3 | 159 |
    | | 4 | 140 |

    4.1 Compute the exponential smoothed sales for

    (i) ,

    (ii) [4]

    4.2 Use the Root mean squares error (RMSE) test to determine which -value produces a better forecast. [6]

  • [Solved] ANOVA

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    I need assistance in understanding the statistical formula ANOVA – ## Overview_10_25.docx – ## cf_PSYC3700_Assignment_10_Worksheet.docx **## Overview_10_25.docx** **Overview** For this week’s assignment you will read a published research study that uses some form of an analysis of variance (…

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    Assignment Prompt & Instructions

    I need assistance in understanding the statistical formula ANOVA

    – ## Overview_10_25.docx

    – ## cf_PSYC3700_Assignment_10_Worksheet.docx

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    – 1
    – 2

  • [Solved] Statistic Chi-Square

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    I need assistance on understanding Chi-Square – ## cf_Week_09_Assignment_Data1.jasp – ## cf_PSYC3700_Assignment_9_06.docx **## cf_Week_09_Assignment_Data1.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.95.1" } ## analyses.json { "analyses" : [], "meta" : null …

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    Assignment Prompt & Instructions

    I need assistance on understanding Chi-Square

    – ## cf_Week_09_Assignment_Data1.jasp

    – ## cf_PSYC3700_Assignment_9_06.docx

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

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  • [Solved] Mathematics – Statistics Mathematics – Statistics Application Assignment 1: Understanding Your Community’s Needs

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    I need assistance in understanding statistical formats. – ## cf_Week_08_Assignment_Data_0901.jasp – ## Overview_0901.docx – ## cf_PSYC3700_Assignment_8_0901.docx **## cf_Week_08_Assignment_Data_0901.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.95.1" } ## an…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    I need assistance in understanding statistical formats.

    – ## cf_Week_08_Assignment_Data_0901.jasp

    – ## Overview_0901.docx

    – ## cf_PSYC3700_Assignment_8_0901.docx

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.docx**

    **Overview**

    For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 1: Communicate research findings using data visualizations.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.docx**

    **Overview**

    For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 1: Communicate research findings using data visualizations.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.docx**

    **Overview**

    For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 Assignment worksheet.

    **Competencies Measured**

    By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:

    · Competency 1: Communicate research findings using data visualizations.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

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