A company that develops an automated customer service model is interested in knowing whether two versi Version A and Version B, will get different ratings from customers. Participants in a focus group are taken th samples from both versions, then take a survey to rate each version. A summary of the data obtained from 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 Observations 15 15 Pearson Correlation -0.325 Hypothesized Mean Difference df 0.00 14 t Stat -1.426 0.088 p= Ex: 1.234 P(T<=t) one-tal t Critical one-tail P(T<=t) two-tail t Critical two-tail -1.345 0.176 -1.761 -3 -2 -1 0 12 3. 95% Confidence Level t Ex: 1.234 t 3D n = Ex 9 Degrees of freedom: df = =DEx: 1,234 Point estimate for Version A: 11 Fimate for Version B: 2 Daint

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A company that develops an automated customer service model is interested in knowing whether two version
Version A and Version B, will get different ratings from customers. Participants in a focus group are taken thro
samples from both versions, then take a survey to rate each version. A summary of the data obtained from th
study is given below Assume ratings from the different surveys generally have the same standard deviation
Mean
Observations
Pearson Corelation
Hypothesized Mean Difference
df
tStat
Version A Version B
33.133
15
-0.325
0.00
14
नाथे26
28.67
15
0.088
p= Ex: 1.234
P(T<3t) one tail
t Critical oneMail
P(T<-t) two-tall
I Critical two-tail
Confidence Level
ना.345
0.176
-1.761
95%
t3
Ex 1.234
t%3D
n=Ex:9
Degrees of freedom df
Point estimate for Version A a Ex1234
Point estimate for Version B z2=
Transcribed Image Text:Start A company that develops an automated customer service model is interested in knowing whether two version Version A and Version B, will get different ratings from customers. Participants in a focus group are taken thro samples from both versions, then take a survey to rate each version. A summary of the data obtained from th study is given below Assume ratings from the different surveys generally have the same standard deviation Mean Observations Pearson Corelation Hypothesized Mean Difference df tStat Version A Version B 33.133 15 -0.325 0.00 14 नाथे26 28.67 15 0.088 p= Ex: 1.234 P(T<3t) one tail t Critical oneMail P(T<-t) two-tall I Critical two-tail Confidence Level ना.345 0.176 -1.761 95% t3 Ex 1.234 t%3D n=Ex:9 Degrees of freedom df Point estimate for Version A a Ex1234 Point estimate for Version B z2=
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