You intend to conduct a goodness-of-fit test for a multinomial distribution with 6 categories. You collect data from 99 subjects. What are the degrees of freedom for the x distribution for this test? d.f. D
You intend to conduct a goodness-of-fit test for a multinomial distribution with 6 categories. You collect data from 99 subjects. What are the degrees of freedom for the x distribution for this test? d.f. D
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![You intend to conduct a goodness-of-fit test for a multinomial distribution with 6 categories. You collect data from 99 subjects.
What are the degrees of freedom for the χ² distribution for this test?
d.f. = [ ]
Question Help: ✉️ Message instructor
[Submit Question] (Button)
---
**Explanation of Content:**
- The process described involves using a χ² (Chi-squared) test to determine how well the observed data fits a certain expected distribution across 6 categories.
- The degrees of freedom (d.f.) for a χ² test in a goodness-of-fit test is calculated as the number of categories minus 1. With 6 categories, the degrees of freedom would be 5.
- There is an input box for entering the degrees of freedom.
- A button labeled "Submit Question" is provided for submission.
- There is a help option to message the instructor for assistance.
**Technical Details:**
1. **Degrees of Freedom Calculation:**
- Formula: \( \text{d.f.} = k - 1 \)
- Where \( k \) is the number of categories.
- Example: For 6 categories, \( \text{d.f.} = 6 - 1 = 5 \).
2. **Test Purpose:**
- Determines if observed frequencies differ from expected ones across categories.
3. **Practical Application:**
- Useful in research and statistical analysis to validate data distribution assumptions.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F30ce24e3-8d93-4bc2-84c7-2a439fb9548b%2F0e2dc18f-10e4-46eb-a0d0-ecc0bb3ae50f%2Fwvpw68u.jpeg&w=3840&q=75)
Transcribed Image Text:You intend to conduct a goodness-of-fit test for a multinomial distribution with 6 categories. You collect data from 99 subjects.
What are the degrees of freedom for the χ² distribution for this test?
d.f. = [ ]
Question Help: ✉️ Message instructor
[Submit Question] (Button)
---
**Explanation of Content:**
- The process described involves using a χ² (Chi-squared) test to determine how well the observed data fits a certain expected distribution across 6 categories.
- The degrees of freedom (d.f.) for a χ² test in a goodness-of-fit test is calculated as the number of categories minus 1. With 6 categories, the degrees of freedom would be 5.
- There is an input box for entering the degrees of freedom.
- A button labeled "Submit Question" is provided for submission.
- There is a help option to message the instructor for assistance.
**Technical Details:**
1. **Degrees of Freedom Calculation:**
- Formula: \( \text{d.f.} = k - 1 \)
- Where \( k \) is the number of categories.
- Example: For 6 categories, \( \text{d.f.} = 6 - 1 = 5 \).
2. **Test Purpose:**
- Determines if observed frequencies differ from expected ones across categories.
3. **Practical Application:**
- Useful in research and statistical analysis to validate data distribution assumptions.
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