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 Mean Variance Observations Hypothesized Mean Difference df t Stat P(T

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Author:Carter
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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
Hotel 1
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
2.214
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, suppose a = 0.10. Which of the following represents the result of the relevant hypothesis test?
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 Hotel 1 Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 2.214 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, suppose a = 0.10. Which of the following represents the result of the relevant hypothesis test?
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