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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 Observations Hotel 1 Hotel 2 2.214 2.951657 20 2.0115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 0.362504 1.685953 0.725009 2.024394 P(T

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 Observations Hotel 1 Hotel 2 2.214 2.951657 20 2.0115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 0.362504 1.685953 0.725009 2.024394 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 Observations Hotel 1 Hotel 2 2.214 2.951657 20 2.0115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 0.362504 1.685953 0.725009 2.024394 P(T<t) one-tail t Critical one-tail P(Tt) two-tail t Critical two-tail Referring to Scenario 10-13, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.05? O2.0244 ±1.6860 ±2.0244 1.6860.
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 Observations Hotel 1 Hotel 2 2.214 2.951657 20 2.0115 3.57855 20 Hypothesized Mean Difference 0 df 38 t Stat 0.354386 0.362504 1.685953 0.725009 2.024394 P(T<t) one-tail t Critical one-tail P(Tt) two-tail t Critical two-tail Referring to Scenario 10-13, what is(are) the critical value(s) of the relevant hypothesis test if the level of significance is 0.05? O2.0244 ±1.6860 ±2.0244 1.6860.
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