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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

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. 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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