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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 i the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach customer service representative between two hotels. Assume that the population variances in the amount of time for the twa hotels are not equal. t-Test: Two-Sample Assuming Unequal Variances Mean Variance Hotel 1 Hotel 2 2.214 2.951657 Observations 20 20115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat P(T

SCENARIO 10-13 The amount of time required to reach a customer service representative has a huge impact on customer satisfaction. Below i the Excel output from a study to see whether there is evidence of a difference in the mean amounts of time required to reach customer service representative between two hotels. Assume that the population variances in the amount of time for the twa hotels are not equal. t-Test: Two-Sample Assuming Unequal Variances Mean Variance Hotel 1 Hotel 2 2.214 2.951657 Observations 20 20115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat P(T

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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. t-Test: Two-Sample Assuming Unequal Variances Mean Variance Hotel 1 Hotel 2 2.214 2.951657 Observations 20 20115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 P(T<t) one-tail t Critical one-tail P(Tat) two-tail t Critical two-tail 0.362504 1.685953 0.725009 2.024394 Referring to Scenario 10-13, what is the smallest level of significance at which the null hypothesis will still not be rejected? 0.10 0.05 0.3625 0.7250
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. t-Test: Two-Sample Assuming Unequal Variances Mean Variance Hotel 1 Hotel 2 2.214 2.951657 Observations 20 20115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 P(T<t) one-tail t Critical one-tail P(Tat) two-tail t Critical two-tail 0.362504 1.685953 0.725009 2.024394 Referring to Scenario 10-13, what is the smallest level of significance at which the null hypothesis will still not be rejected? 0.10 0.05 0.3625 0.7250
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