A high school principal claims that the variance in the GPA of students in the graduating class iS Tess than 0.39. You test this claim by sampling 31 seniors and find their GPA have a variance or 0.21. 8. Ho:o2 = 0.39 Ha: o2 < 0.39 (Claim) Is there enough evidence to reject Ho and support the principal's claim at a 0.10 level of significance? A. No, the test statistic x? B. No, the test statistic x? C. Yes, the test statistic x2 = 20.599 is in the rejection region with critical value 16.154 D. No, the test statistic x2 = 21.434 is not in the rejection region with critical value 20.599 E. Yes, the test statistic x2 = 16.154 is in the rejection region with critical value 20.599 20.599 is not in the rejection region with critical value 21.434 = 16.154 is not in the rejection region with critical value 40.256
A high school principal claims that the variance in the GPA of students in the graduating class iS Tess than 0.39. You test this claim by sampling 31 seniors and find their GPA have a variance or 0.21. 8. Ho:o2 = 0.39 Ha: o2 < 0.39 (Claim) Is there enough evidence to reject Ho and support the principal's claim at a 0.10 level of significance? A. No, the test statistic x? B. No, the test statistic x? C. Yes, the test statistic x2 = 20.599 is in the rejection region with critical value 16.154 D. No, the test statistic x2 = 21.434 is not in the rejection region with critical value 20.599 E. Yes, the test statistic x2 = 16.154 is in the rejection region with critical value 20.599 20.599 is not in the rejection region with critical value 21.434 = 16.154 is not in the rejection region with critical value 40.256
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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![**Problem 8: Statistical Test on GPA Variance**
A high school principal claims that the variance in the GPA of students in the graduating class is less than 0.39. You test this claim by sampling 31 seniors and find their GPA has a variance of 0.21.
**Hypotheses:**
- Null Hypothesis \( H_0: \sigma^2 = 0.39 \)
- Alternative Hypothesis \( H_a: \sigma^2 < 0.39 \) (Claim)
The question asks if there is enough evidence to reject \( H_0 \) and support the principal’s claim at a 0.10 level of significance.
**Options:**
A. No, the test statistic \(\chi^2 = 20.599\) is not in the rejection region with critical value 21.434
B. No, the test statistic \(\chi^2 = 16.154\) is not in the rejection region with critical value 40.256
C. Yes, the test statistic \(\chi^2 = 20.599\) is in the rejection region with critical value 16.154
D. No, the test statistic \(\chi^2 = 21.434\) is not in the rejection region with critical value 20.599
E. Yes, the test statistic \(\chi^2 = 16.154\) is in the rejection region with critical value 20.599
The correct approach would be to compare the test statistic \(\chi^2\) with the critical value to determine if the results fall into the rejection region, thereby justifying rejecting the null hypothesis in favor of the alternative hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa39be845-ae1d-44f6-957a-0c42c0fe4c23%2F2126f0e1-d03b-41c1-abb7-6a410ec9b109%2Fjjvjde_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Problem 8: Statistical Test on GPA Variance**
A high school principal claims that the variance in the GPA of students in the graduating class is less than 0.39. You test this claim by sampling 31 seniors and find their GPA has a variance of 0.21.
**Hypotheses:**
- Null Hypothesis \( H_0: \sigma^2 = 0.39 \)
- Alternative Hypothesis \( H_a: \sigma^2 < 0.39 \) (Claim)
The question asks if there is enough evidence to reject \( H_0 \) and support the principal’s claim at a 0.10 level of significance.
**Options:**
A. No, the test statistic \(\chi^2 = 20.599\) is not in the rejection region with critical value 21.434
B. No, the test statistic \(\chi^2 = 16.154\) is not in the rejection region with critical value 40.256
C. Yes, the test statistic \(\chi^2 = 20.599\) is in the rejection region with critical value 16.154
D. No, the test statistic \(\chi^2 = 21.434\) is not in the rejection region with critical value 20.599
E. Yes, the test statistic \(\chi^2 = 16.154\) is in the rejection region with critical value 20.599
The correct approach would be to compare the test statistic \(\chi^2\) with the critical value to determine if the results fall into the rejection region, thereby justifying rejecting the null hypothesis in favor of the alternative hypothesis.
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