A statistics professor at a large university hypothesizes that students who take

Question

A statistics professor at a large university hypothesizes that students who take statistics in the morning typically do better than those who take it in the afternoon. He takes independently random samples, each of size 36, consisting of students who took a morning and an afternoon class. and compares the scores of each group on a common final exam. He finds that the morning group scored an average of 74 with a standard deviation of 8, while the evening group scored an average of 68 with a standard deviation of 10. The population standard deviation of scores is unknown but is assumed to be equal for morning and evening classes. Let 1and2 represent the population mean final exam scores of statistics' courses offered in the morning and the afternoon, respectively. Compute the appropriate test statistic to analyze the claim at the 1% signifncance level O 2.381 O-2.381 and 2.381 -1.28 and 1.28 O 1.28

Explanation / Answer

Ans:

For above data,we perform Independent samples t -test,also it is assumed that population standard deviation are equal but unknown.

Also,it is one tailed test.

So,degree of freedom=n1+n2-2

df=36+36-2=70

Significance level=0.01

critical t value(one tailed)=2.381

Hence,the correct option will be 2.381

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