Question

Aa Aa 3. A two-factor ANOVA: the null hypotheses, interpretation, and assumptions A fourth-grade tacher suspects that the time he administers a tast, and what sort of snadk his students have before the test, affects their performance. To tast his theory, he assigns 90 fourth-grade studerts to one of three groups One group gets candy (a lollipop) for their 9:55 AM snack. Another group gets their 9:55 AM snack. The third group does not get a 9:55 AM snack. The teacher also randomly assigns 10 of the students in each snack group to take the test at three different times: 10:00 AM (right after snack), 11:00 AM (an hour after snack), and 12:00 PM (right before lunch), teacher uses a two-factor, independent-measures ANOVA to analyze these data. Without post hoc nalysis? Check all that apply. (Note: Assume that tests, which of the following questions can be answered by this a receiving no snack is considered one type of snack.) Does student performance on the test depend on the time of the test? Do students who are tested at 11:00 AM score lower than students who are tested at 12:00 PM? Does the effect of the timing of the test depend on the type of snack the students eat D Is there a diference among the scores for the snack types because a candy snck increases the students level of happiness, which causes them to exert more effort on the test? In the following table are the mean test scores for each of these nine different combinations of snack type timing Factor B: Time of Test 10:00 AM 11:00 AM 12:00 PM Candy Snack M 92.0 M 84.0 M-88.0 M 88.0 Factor A: Type of Snack Protein Snack M-88.5 M-88.0 M-87.5 M-88.0 No Snack M-90.0 M 91.0 M-83.0 M 88.0 M=90.2 M=87.7 M-86.2 The folowing graph shows the mean test scores for the trestment conditions. Use this graph and the data mati to

Answer 1

ollouoing apply ) Does Student perbinonce on -he tar depend ơn the z)Does the etect al fhe tgt depend on the tsee at Snack the Students eat