Jamovi- One-Way ANOVA

• Enter or import data
• Select ANOVA
• Select One-Way ANOVA
• Select your Dependent Variable(s) and then click the arrow
• Select your Grouping Variable and then click the arrow
• Under Variances click "Assume equal" (unless you have reason to feel non-parametric tests may be better suited)
• Select Descriptives to also calculate those if you don't have them already for your sample
• Select Descriptives Plots if you also wish to plot the Pre/Post samples
• Under Post Hoc Tests tab select Tukey for Post Hoc tests
  • Select Flag significant comparisons

For the following questions, Use Dataset 1.1 shown below

a. Sexual Partners: Is there a statistically significant difference of the number of Sexual partners in last year between the four different Grades? Give the F statistic as F (df between, df within)= " " p= " ".

b . If there is a significant difference, run a Tukey post hoc test to see which grades are different from one another. Which grades are significantly different (give p values please)

c. Draw or create bar graph representing the means and standard errors of the mean of the Sexual partners of all four grades. Add in a star(s) for significance for any groups that significantly differ from other groups.

Subject	Sex	Grade	Sexual Partners in last year	# Close Friends/family	IQ Score	Maturity Index Score	Optimistic scale
1	M	FR	4	1	100	50	89
2	M	SR	3	15	110	50	43
3	F	SH	5	33	93	45	45
4	F	FR	6	15	120	10	92
5	M	SR	1	9	101	44	45
6	F	SR	2	16	99	34	20
7	M	FR	3	4	123	40	88
8	F	SR	4	23	150	24	33
9	F	SR	5	20	87	44	55
10	F	SH	6	20	92	32	50
11	F	JR	1	20	100	34	50
12	M	JR	10	15	100	45	40
13	M	FR	9	30	80	33	70
14	F	SR	3	15	109	50	10
15	M	SH	1	13	114	22	55
16	M	JR	0	15	100	43	50
17	M	SR	0	10	110	34	55
18	M	SH	3	3	93	10	54
19	M	JR	1	10	120	23	60
20	F	JR	5	66	101	12	54
21	F	SR	6	20	99	44	60
22	M	SH	7	15	123	23	56
23	F	JR	1	30	150	34	34
24	M	JR	2	7	87	45	65
25	F	FR	4	42	92	43	80
26	F	SR	1	19	100	43	45
27	F	SH	1	26	100	43	55
28	F	SH	2	33	80	50	70
29	M	FR	1	4	109	23	77
30	M	SR	0	14	114	50	53
31	F	SH	2	15	100	43	90
32	M	JR	4	6	110	44	70
33	M	FR	5	5	93	45	88
34	M	SR	1	10	120	44	10
35	M	SH	10	9	101	24	40
36	F	JR	8	23	99	34	40
37	F	FR	5	33	123	43	96
38	M	SR	4	2	150	34	50
39	F	SH	0	44	87	44	50
40	F	JR	3	33	92	33	20
41	M	FR	2	10	100	30	84
42	M	SR	1	9	100	44	43
43	M	SH	2	6	80	50	54
44	F	JR	1	27	109	23	30
45	M	FR	3	5	114	10	89
47	M	SH	1	14	110	44	65
48	F	JR	2	38	100	10	40
48	F	SR	4	44	75	33	60
49	F	FR	1	33	89	23	78
50	M	JR	4	5	100	34	55