AM vs PM sections of Stats  Significance test (Raw
Data, Software Required):
There are two sections of statistics, one in the afternoon (PM)
with 30 students and one in the morning (AM) with 22 students. Each
section takes the identical test. The PM section, on average,
scored higher than the AM section. The scores from each section are
given in the table below. Test the claim that the PM section did
significantly better than the AM section, i.e., is
the difference in mean scores large enough to believe that
something more than random variation produced this difference. Use
a 0.05 significance level.
(a) Use software to calculate the test statistic. Do not 'pool' the variance. This means you do not assume equal variances. Round your answer to 2 decimal places. t = (b) Use software to get the Pvalue of the test statistic. Round to 4 decimal places. Pvalue = (c) What is the conclusion regarding the null hypothesis? reject H_{0 OR} fail to reject H_{0} (d) Choose the appropriate concluding statement. The difference in mean scores is large enough to suggest this difference is due to something more than random variation.There is not a big enough difference in mean scores to suggest that this difference is anything more than a result of random variation. We have proven that students in PM sections of statistics do better, on average, than students taking AM sections.We have proven that there is no difference between AM and PM sections of statistics. 

Solution: (a) Use software to calculate the test statistic. Do not 'pool' the variance. This means you do not assume equal variances.
Answer:
(b) Use software to get the Pvalue of the test statistic.
Answer:
(c) What is the conclusion regarding the null hypothesis?
Answer: Fail to reject H_{0}
(d) Choose the appropriate concluding statement.
Answer: There is not a big enough difference in mean scores to suggest that this difference is anything more than a result of random variation.
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