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Q: With individual lines at its various windows, a post office finds that the standard deviation for normally distributed waiting times for customers is 7.2 minutes. The post office experiments with a single, main waiting line and finds that for a random sample of 25 customers the waiting times for customers have a standard deviation of 4.5 minutes. At the 5% significance level, determine if the single line changed the variation among the wait times for customers.

Q: With individual lines at its various windows, a post office finds that the standard deviation for normally distributed waiting times for customers is 7.2 minutes. The post office experiments with a single, main waiting line and finds that for a random sample of 25 customers the waiting times for customers have a standard deviation of 4.5 minutes. At the 5% significance level, determine if the single line changed the variation among the wait times for customers.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Q: With individual lines at its various windows, a post office finds that the standard deviation for normally distributed waiting times for customers is 7.2 minutes. The post office experiments with a single, main waiting line and finds that for a random sample of 25 customers the waiting times for customers have a standard deviation of 4.5 minutes. At the 5% significance level, determine if the single line changed the variation among the wait times for customers.
Transcribed Image Text:Q: With individual lines at its various windows, a post office finds that the standard deviation for normally distributed waiting times for customers is 7.2 minutes. The post office experiments with a single, main waiting line and finds that for a random sample of 25 customers the waiting times for customers have a standard deviation of 4.5 minutes. At the 5% significance level, determine if the single line changed the variation among the wait times for customers.
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