Student advisors are interested in determining if the variances of the scores of day students and night students are the same. The following samples are drawn. Day (population 1): nj = 25, s1 = 9.8; Night (population 2): n2 = 31, s2 = 14.7. Let o1 and o2 be the respective population standard deviation. We want to develop a 95% confidence interval for 0. The appropriate sample statistic and its sampling distribution is: O (n - 1)s - F(n1 – 1) of O n - 1)si -~x²(n – 1)| ~ F(n – 1) [(n1-1)에 ~x²(n1 – 1) QUESTION 2 Student advisors are interested in determining if the variances of the scores of day students and night students are the same. The following samples are drawn. Day (population 1): n1 = 25, s1 = 9.8; Night (population 2): n2 = 31, s2 = 14.7. Let Oj and 0z be the respective population standard deviation. We want to develop a 95% confidence interval for 1 The lower bound of this confidence interval is . (round to the nearest hundredth) The upper bound of this confidence interval is - (round to the nearest hundredth)
Student advisors are interested in determining if the variances of the scores of day students and night students are the same. The following samples are drawn. Day (population 1): nj = 25, s1 = 9.8; Night (population 2): n2 = 31, s2 = 14.7. Let o1 and o2 be the respective population standard deviation. We want to develop a 95% confidence interval for 0. The appropriate sample statistic and its sampling distribution is: O (n - 1)s - F(n1 – 1) of O n - 1)si -~x²(n – 1)| ~ F(n – 1) [(n1-1)에 ~x²(n1 – 1) QUESTION 2 Student advisors are interested in determining if the variances of the scores of day students and night students are the same. The following samples are drawn. Day (population 1): n1 = 25, s1 = 9.8; Night (population 2): n2 = 31, s2 = 14.7. Let Oj and 0z be the respective population standard deviation. We want to develop a 95% confidence interval for 1 The lower bound of this confidence interval is . (round to the nearest hundredth) The upper bound of this confidence interval is - (round to the nearest hundredth)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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