A sample of birth weights of 13 girls was taken. Below are the results (in g): 2961.8 3509.5 2808.6 1212.4 2037.3 4224.7 3083.2 3423.6 3967.3 3252.4 2945.8 2494.6 4165.6 * = 3083.6 g s = 848.12 g Use a 10% significance level to test the claim that the standard deviation of birth weights of girls is greater than the standard deviation of birth weights of boys, which is 520 g.
A sample of birth weights of 13 girls was taken. Below are the results (in g): 2961.8 3509.5 2808.6 1212.4 2037.3 4224.7 3083.2 3423.6 3967.3 3252.4 2945.8 2494.6 4165.6 * = 3083.6 g s = 848.12 g Use a 10% significance level to test the claim that the standard deviation of birth weights of girls is greater than the standard deviation of birth weights of boys, which is 520 g.
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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Question
![A sample of birth weights of 13 girls was taken. Below are the
results (in g):
2961.8
3509.5
2808.6
1212.4
2037.3
4224.7
3083.2
3423.6
3967.3
3252.4
2945.8
2494.6
4165.6
= 3083.6 g
s = 848.12 g
Use a 10% significance level to test the claim that the
standard deviation of birth weights of girls is greater than the
standard deviation of birth weights of boys, which is 520 g.
Round all answers to 3 decimal places if possible.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5e05797a-7773-4e4c-9cc5-1b0753671d69%2F4fd0d419-9c79-4ec3-b045-c3fd137ac8fa%2Fhmiyq08_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A sample of birth weights of 13 girls was taken. Below are the
results (in g):
2961.8
3509.5
2808.6
1212.4
2037.3
4224.7
3083.2
3423.6
3967.3
3252.4
2945.8
2494.6
4165.6
= 3083.6 g
s = 848.12 g
Use a 10% significance level to test the claim that the
standard deviation of birth weights of girls is greater than the
standard deviation of birth weights of boys, which is 520 g.
Round all answers to 3 decimal places if possible.
![Step 4. Testing Procedure:
Provide the critical value(s) for the Rejection Region.
For a one-tailed test, use DNE for the unneeded
critical value.
• Left CV =
• Right CV =
The p-value is
Link 2 to Chi-Square Table:
https://www.itl.nist.gov/div898/handbook/eda/section3/eda
Step 5. Decision
Is the test statistic in the rejection region? ?
Is the p-value less than the significance level? ?
Conclusion:
Select an answer
Step 6. Interpretation:
At a 10% significance level we
Select an answer
have
sufficient evidence to reject the null hypothesis in
favor of the alternative hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5e05797a-7773-4e4c-9cc5-1b0753671d69%2F4fd0d419-9c79-4ec3-b045-c3fd137ac8fa%2Fou2b6s_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Step 4. Testing Procedure:
Provide the critical value(s) for the Rejection Region.
For a one-tailed test, use DNE for the unneeded
critical value.
• Left CV =
• Right CV =
The p-value is
Link 2 to Chi-Square Table:
https://www.itl.nist.gov/div898/handbook/eda/section3/eda
Step 5. Decision
Is the test statistic in the rejection region? ?
Is the p-value less than the significance level? ?
Conclusion:
Select an answer
Step 6. Interpretation:
At a 10% significance level we
Select an answer
have
sufficient evidence to reject the null hypothesis in
favor of the alternative hypothesis.
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