Question

(24 pts) Use the data in the SPSS or JASP file ‘Drowson-Spring2020’ or refer to the raw data on Blackboard, which refer to Pagano, Chapter 16, Problem 13 (same in 10^th, 9^th, and 8^th editions; 7^th edition: Chapter 17; Problem 13; 6^th edition: Chapter 17, Problem 10). (Note: the numbers in the SPSS file have been changed from those in the book.) Here, a researcher is using a 2 by 2 between-subjects factorial design to test if previous use of a drug (called Drowson) and the concentration of the drug impact how long it takes for a person to fall asleep. For the “prevuse” variable, 1 = no previous use and 2 = chronic users. For the “concentration” variable, 1 = placebo and 2 = minimum recommended dosage.

A.     (6 pts) What are the null and alternative hypotheses? (There will be three of each.)

B.     (8 pts) Copy out the entire ANOVA table from JASP, SPSS, or the online calculator. Say what the results mean in terms of rejecting or retaining each null hypothesis (alpha = .05). For each F test, report F_crit as well.

C.     (6 pts) Graph the results. Include one point on the graph for each cell mean (4 data points total). Also report each cell mean numerically in a Table. Follow the book’s graphing conventions (see Question 3, above)

time	prevuse	concentration
51	1	1
48	1	1
62	1	1
71	1	1
53	1	1
61	1	1
55	1	1
64	1	1
27	1	2
30	1	2
37	1	2
47	1	2
40	1	2
29	1	2
31	1	2
35	1	2
48	2	1
55	2	1
55	2	1
61	2	1
69	2	1
64	2	1
59	2	1
59	2	1
52	2	2
60	2	2
58	2	2
64	2	2
49	2	2
60	2	2
53	2	2
55	2	2

Answer 1