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...


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

Extracted 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=""><-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="">

Jun 02, 2022
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