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The amount of time required to reach a customer service representative has a huge impact Excel output from a study to see whether there is evidence of a difference in the mean amou customer service representative between two hotels. Assume that the population variances hotels are not equal. 1-Test: Two-Sample Assuming Unequal Variances Hotel 1 Mean Variance Observations Hypothesized Mean Difference 2214 2.951657 20 0 38 Hotel 2 2.0115 3.57855 20

The amount of time required to reach a customer service representative has a huge impact Excel output from a study to see whether there is evidence of a difference in the mean amou customer service representative between two hotels. Assume that the population variances hotels are not equal. 1-Test: Two-Sample Assuming Unequal Variances Hotel 1 Mean Variance Observations Hypothesized Mean Difference 2214 2.951657 20 0 38 Hotel 2 2.0115 3.57855 20

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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SCENARIO 10-13 The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below is the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels. Assume that the population variances in the amount of time for the two hotels are not equal. 1-Test: Two-Sample Assuming Unequal Variances Hotel 1 Mean Variance Observations Hypothesized Mean Difference af Stat P(T<-t) one-tail 1 Critical one-tail P(T<t) two-tail t Critical two-tail 2214 2.951657 20 0 38 0.354386 0.362504 1.685953 0.725009 2.024394 Hotel 2 2.0115 3.57855 20 Referring to Scenario 10-13, what is the smallest level of significance at which the null hypothesis will still not be rejected?
Transcribed Image Text:SCENARIO 10-13 The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below is the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach a customer service representative between two hotels. Assume that the population variances in the amount of time for the two hotels are not equal. 1-Test: Two-Sample Assuming Unequal Variances Hotel 1 Mean Variance Observations Hypothesized Mean Difference af Stat P(T<-t) one-tail 1 Critical one-tail P(T<t) two-tail t Critical two-tail 2214 2.951657 20 0 38 0.354386 0.362504 1.685953 0.725009 2.024394 Hotel 2 2.0115 3.57855 20 Referring to Scenario 10-13, what is the smallest level of significance at which the null hypothesis will still not be rejected?
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