Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s = 241, and n1 = 26 Sample 2: s = 220, and n2 = 16 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "P' value and final answers to 2 decimal places.) Confidence interval to b. Using the confidence interval from Part (a), test if the ratio of the population variances differs from 1 at the 5% significance level. The 95% confidence interval the value 1. Thus, we conclude that the population variances differ at the 5% significance level.
Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it useful to reference the appropriate table: chi-square table or F table) Sample 1: s = 241, and n1 = 26 Sample 2: s = 220, and n2 = 16 a. Construct the 95% interval estimate for the ratio of the population variances. (Round "P' value and final answers to 2 decimal places.) Confidence interval to b. Using the confidence interval from Part (a), test if the ratio of the population variances differs from 1 at the 5% significance level. The 95% confidence interval the value 1. Thus, we conclude that the population variances differ at the 5% significance level.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it
useful to reference the appropriate table: chi-square table or F table)
Sample 1: s = 241, and n1 = 26
Sample 2: s = 220, and n2 = 16
a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F" value and final answers to 2 decimal
places.)
Confidence interval
to
b. Using the confidence interval from Part (a), test if the ratio of the population variances differs from 1 at the 5% significance level.
The 95% confidence interval
the value 1. Thus, we
conclude that the population variances differ at the 5% significance level.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7e61730b-a7aa-4025-855f-4ebc6960ab48%2Fc40c2d2d-e730-4f63-aeec-948c794d97f3%2Fjk0j4so_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following measures based on independently drawn samples from normally distributed populations: (You may find it
useful to reference the appropriate table: chi-square table or F table)
Sample 1: s = 241, and n1 = 26
Sample 2: s = 220, and n2 = 16
a. Construct the 95% interval estimate for the ratio of the population variances. (Round "F" value and final answers to 2 decimal
places.)
Confidence interval
to
b. Using the confidence interval from Part (a), test if the ratio of the population variances differs from 1 at the 5% significance level.
The 95% confidence interval
the value 1. Thus, we
conclude that the population variances differ at the 5% significance level.
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