A professor who teaches a large introductory statistics class (197 students) wit

Question

A professor who teaches a large introductory statistics class (197 students) with eight discussion sections would like to test if student performance differs by discussion section, where each discussion section has a different teaching assistant. The summary table below shows the average final exam score for each discussion section as well as the standard deviation of scores and the number of students in each section Sec 1 See 2 See3 See4 Sec 5 See 6 See 7 See 8 19 10 29 33 10 32 31 92.94 91.11 91.8 9245 89.3 883 90.12 93.45 n 33 4.21 5.58 3.43 592 9.32 7.27 6.93 457 The ANOVA output below can be used to test for differences between the average scores from the different discussion sections, Df Sum Sq Mean Sq Fvalue ProF section 7 525.01 residuals 189 7584.11 75 1.87 0.0767 40.13 Conduct a hypothesis test to determine if these data provide convincing evidence that the average score varies across some (or all) groups. Check conditions and describe any assumptions you must make to proceed with the test e) Write the hypotheses for evaluating if there is a difference between average scores across your own words. Ha: At least one pair of means is the same Ha: At least one of the means is different (b) Assume that the conditions required for this inference are satisfied. (c) What is the test statistic associated with this ANOVA test? (d) What is the p-value associated with this ANOVA test? (e) Interpret the conclusion of the test in the context of the study: please round to two decimal places) (please round to four decimal places) Since p z0.0s, there is enough evidence to claim a difference in average scores across the different sections FOR lacBook Pro 44 F1 F12 F10 F8 F9

Explanation / Answer

a)

option C) is correct

b)
c)
TS = 1.87   {see the second table, colum F value}
d)
p-value = 0.0767 {near F value }

e)
since p-value > 0.05
we fail to reject the null hypothesis
there is not enough evidence

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