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
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Question
![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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F257501d0-6519-48a7-a389-4676c7ea87d2%2F6f247298-d443-48c9-b1c2-62d5a9a0b7a5%2F991vjbh_processed.png&w=3840&q=75)
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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