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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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