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. Version A Version 8 Mean 33.133 28.67 15 15 Observations Pearson Correlation -0.325 Hypothesized Mean Difference 0.00 df 14 t Stat -1.426 P(T<=t) one-tail 0.088 P = Ex: 1.234 t Critical one-tail -1.345 P(T<=t) two-tail 0.176 t Critical two-tail -1.761 Confidence Level 95% -3 -2 -1 2 3 t = Ex: 1.234 n= Ex: 9 Degrees of freedom: df: - Point estimate for Version A: 1 = Ex: 1.234 Point estimate for Version B. 2 = 0 1 t=

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s tests for the difference between two population means
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.
Version A Version B
Mean
33.133
28.67
15
Observations
Pearson Correlation
-0.325
Hypothesized Mean Difference
-1.426
P(T<t) one-tail
P = Ex: 1.234
t Critical one-tail
-1.345
P(T<t) two-tail
0.176
t Critical two-tail
Confidence Level
2
3
t Ex: 1234
n= Ex: 9
Degrees of freedom: df
Point estimate for Version A: ₁ = Ex: 1.234
Point estimate for Version B: ₂ =
1
ENHURI
Transcribed Image Text:s tests for the difference between two population means 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. Version A Version B Mean 33.133 28.67 15 Observations Pearson Correlation -0.325 Hypothesized Mean Difference -1.426 P(T<t) one-tail P = Ex: 1.234 t Critical one-tail -1.345 P(T<t) two-tail 0.176 t Critical two-tail Confidence Level 2 3 t Ex: 1234 n= Ex: 9 Degrees of freedom: df Point estimate for Version A: ₁ = Ex: 1.234 Point estimate for Version B: ₂ = 1 ENHURI
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