A company that develops an automated customer service model is interested in knowing whether two versions, Version A and Version B, will get different ratings from customers. Participants in a focus group are taken throug samples from both versions, then take a survey to rate each version. A summary of the data obtained from the study is given below. Assume ratings from the different surveys generally have the same standard deviation. Mean Observations Pearson Correlation Hypothesized Mean Difference df Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail Critical two-tail Confidence Level Version A Version B 33.133 28.67 15 15 -0.325 0.00 14 -1.426 0.088 -1.345 0.176 -1.761 95% -3 -2 -1 0 1 p = Ex: 1.234 2 3

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A company that develops an automated customer service model is interested in knowing whether two versions,
Version A and Version B, will get different ratings from customers. Participants in a focus group are taken through
samples from both versions, then take a survey to rate each version. A summary of the data obtained from the
study is given below. Assume ratings from the different surveys generally have the same standard deviation.
Mean
Observations
Pearson Correlation
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Confidence Level
Version A Version B
33.133
28.67
15
15
-0.325
0.00
14
n = Ex: 9
-1.426
0.088
-1.345
0.176
-1.761
95%
Degrees of freedom: df
Point estimate for Version A: XA = Ex: 1.234
Point estimate for Version B: x B
=
1
=
من
t =
−1
Ex: 1.234
0
1
t =
P =
= Ex: 1.234
2
3
2
Transcribed Image Text:A company that develops an automated customer service model is interested in knowing whether two versions, Version A and Version B, will get different ratings from customers. Participants in a focus group are taken through samples from both versions, then take a survey to rate each version. A summary of the data obtained from the study is given below. Assume ratings from the different surveys generally have the same standard deviation. Mean Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Version A Version B 33.133 28.67 15 15 -0.325 0.00 14 n = Ex: 9 -1.426 0.088 -1.345 0.176 -1.761 95% Degrees of freedom: df Point estimate for Version A: XA = Ex: 1.234 Point estimate for Version B: x B = 1 = من t = −1 Ex: 1.234 0 1 t = P = = Ex: 1.234 2 3 2
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