[Solved] Statistic Chi-Square

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**

**Remove or Replace: Header Is Not Doc Title**


## 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**

**Remove or Replace: Header Is Not Doc Title**


## 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**

**Remove or Replace: Header Is Not Doc Title**


## 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**

**Remove or Replace: Header Is Not Doc Title**


## 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**

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