5.46 Student performance across discussion sections: 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 Sec 2 Sec 3 Sec 4 Sec 5 Sec 6 Sec 7 Sec 8 ni 33 19 10 29 33 10 32 31 x̄i 92.94 91.11 91.8 92.45 89.3 88.3 90.12 93.45 si 4.21 5.58 3.43 5.92 9.32 7.27 6.93 4.57 (d) What is the p-value associated with this ANOVA test?_________ (please round to four decimal places) (e) Interpret the conclusion of the test in the context of the study: ( )Since p ≥ 0.05, we do not have enough evidence to claim a difference in average scores across the different sections ( )Since p is close to 0.05, we cannot make a decision ( )Since p ≥ 0.05, there is enough evidence to claim a difference in average scores across the different sections ( )Since p ≥ 0.05, there is no difference in average scores across the different sections
5.46 Student performance across discussion sections: 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 | Sec 2 | Sec 3 | Sec 4 | Sec 5 | Sec 6 | Sec 7 | Sec 8 | |
---|---|---|---|---|---|---|---|---|
ni | 33 | 19 | 10 | 29 | 33 | 10 | 32 | 31 |
x̄i | 92.94 | 91.11 | 91.8 | 92.45 | 89.3 | 88.3 | 90.12 | 93.45 |
si | 4.21 | 5.58 | 3.43 | 5.92 | 9.32 | 7.27 | 6.93 | 4.57 |
(d) What is the p-value associated with this ANOVA test?_________
(please round to four decimal places)
(e) Interpret the conclusion of the test in the context of the study:
- ( )Since p ≥ 0.05, we do not have enough evidence to claim a difference in average scores across the different sections
- ( )Since p is close to 0.05, we cannot make a decision
- ( )Since p ≥ 0.05, there is enough evidence to claim a difference in average scores across the different sections
- ( )Since p ≥ 0.05, there is no difference in average scores across the different sections
ANOVA is a statistical test which can be used to compare the mean of more than 2 groups. It is a parametric test.
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