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Below is the Excel output from a study to see whether there is evidence of a difference in the mea required to reach a customer service representative between two hotels. Assume that the populat the amount of time for the two hotels are not equal. Suppose a= 0.10. Which of the following represents the result of the relevant hypothesis test? t-Test Two-Sample Assuming Unequal Variances Hotel 1 Hotel 2 2.0115 Mean Variance Observations 2.214 2.951657 20 3.57855 20 Hypothesized Mean Difference df t Stat P(T<=t) one-tail 38 0.354386 0.362504 t Critical one tail 1685953

Below is the Excel output from a study to see whether there is evidence of a difference in the mea required to reach a customer service representative between two hotels. Assume that the populat the amount of time for the two hotels are not equal. Suppose a= 0.10. Which of the following represents the result of the relevant hypothesis test? t-Test Two-Sample Assuming Unequal Variances Hotel 1 Hotel 2 2.0115 Mean Variance Observations 2.214 2.951657 20 3.57855 20 Hypothesized Mean Difference df t Stat P(T<=t) one-tail 38 0.354386 0.362504 t Critical one tail 1685953

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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11 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. Suppose a= 0.10. Which of the following represents the result of the relevant hypothesis test? t-Test: Two-Sample Assuming Unequal Variances Hotel 1 Hotel 2 Mean 2.0115 Variance Observations 2.214 2.951657 20 3.57855 20 Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 38 0.354386 0.362504 1.685953 0.725009 2.024394 a) O The null hypothesis is not rejected. b) O The null hypothesis is rejected. c) O Insufficient information exists on which to make a decision. d) The alternative hypothesis is rejected.
Transcribed Image Text:11 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. Suppose a= 0.10. Which of the following represents the result of the relevant hypothesis test? t-Test: Two-Sample Assuming Unequal Variances Hotel 1 Hotel 2 Mean 2.0115 Variance Observations 2.214 2.951657 20 3.57855 20 Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 38 0.354386 0.362504 1.685953 0.725009 2.024394 a) O The null hypothesis is not rejected. b) O The null hypothesis is rejected. c) O Insufficient information exists on which to make a decision. d) The alternative hypothesis is rejected.
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