What does this decision mean for our equal pay question 4 Ba

What does this decision mean for our equal pay question:

<1 point>

Based on our sample data, can we conclude that males and females are distributed across grades in a similar pattern

within the population?

What are the hypothesis statements:

Ho:

Ha:

Do manual calculations per cell here (if desired)

OBS COUNT - m

OBS COUNT - f

Sum =

EXPECTED

What is the value of the chi square statistic:

What is the p-value associated with this value:

Is the p-value <0.05?

Do you reject or not reject the null hypothesis:

If you rejected the null, what is the Phi correlation:

What does this correlation mean?

What does this decision mean for our equal pay question:

ID	Salary	Compa	Midpoint	Age	Performance Rating	Service	Gender	Raise	Degree	Gender1	Gr
1	66.1	1.159	57	34	85	8	0	5.7	0	M	E	The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)?
2	25.9	0.834	31	52	80	7	0	3.9	0	M	B	Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.
3	35.2	1.135	31	30	75	5	1	3.6	1	F	B
4	55.3	0.971	57	42	100	16	0	5.5	1	M	E	The column labels in the table mean:
5	49.6	1.033	48	36	90	16	0	5.7	1	M	D	ID – Employee sample number	Salary – Salary in thousands
6	78.3	1.168	67	36	70	12	0	4.5	1	M	F	Age – Age in years		Performance Rating - Appraisal rating (employee evaluation score)
7	42.3	1.058	40	32	100	8	1	5.7	1	F	C	Service – Years of service (rounded)	Gender – 0 = male, 1 = female
8	22.8	0.990	23	32	90	9	1	5.8	1	F	A	Midpoint – salary grade midpoint	Raise – percent of last raise
9	78	1.164	67	49	100	10	0	4	1	M	F	Grade – job/pay grade	Degree (0= BS\\BA 1 = MS)
10	23.3	1.014	23	30	80	7	1	4.7	1	F	A	Gender1 (Male or Female)	Compa - salary divided by midpoint
11	23.6	1.025	23	41	100	19	1	4.8	1	F	A
12	60.8	1.067	57	52	95	22	0	4.5	0	M	E
13	40.6	1.014	40	30	100	2	1	4.7	0	F	C
14	21.7	0.943	23	32	90	12	1	6	1	F	A
15	21.8	0.949	23	32	80	8	1	4.9	1	F	A
16	37.4	0.934	40	44	90	4	0	5.7	0	M	C
17	57	1.000	57	27	55	3	1	3	1	F	E
18	33.5	1.081	31	31	80	11	1	5.6	0	F	B
19	23	1.000	23	32	85	1	0	4.6	1	M	A
20	36	1.162	31	44	70	16	1	4.8	0	F	B
21	76	1.135	67	43	95	13	0	6.3	1	M	F
22	43.7	0.911	48	48	65	6	1	3.8	1	F	D
23	25.3	1.098	23	36	65	6	1	3.3	0	F	A
24	48.9	1.019	48	30	75	9	1	3.8	0	F	D
25	25.8	1.122	23	41	70	4	0	4	0	M	A
26	23.3	1.013	23	22	95	2	1	6.2	0	F	A
27	42.3	1.057	40	35	80	7	0	3.9	1	M	C
28	75.2	1.122	67	44	95	9	1	4.4	0	F	F
29	80.9	1.208	67	52	95	5	0	5.4	0	M	F
30	49	1.020	48	45	90	18	0	4.3	0	M	D
31	24.2	1.054	23	29	60	4	1	3.9	1	F	A
32	27.5	0.886	31	25	95	4	0	5.6	0	M	B
33	63.6	1.115	57	35	90	9	0	5.5	1	M	E
34	28.6	0.922	31	26	80	2	0	4.9	1	M	B
35	22.4	0.976	23	23	90	4	1	5.3	0	F	A
36	23.6	1.026	23	27	75	3	1	4.3	0	F	A
37	24.3	1.057	23	22	95	2	1	6.2	0	F	A
38	63	1.105	57	45	95	11	0	4.5	0	M	E
39	34.8	1.123	31	27	90	6	1	5.5	0	F	B
40	24.3	1.057	23	24	90	2	0	6.3	0	M	A
41	42.8	1.071	40	25	80	5	0	4.3	0	M	C
42	23	0.998	23	32	100	8	1	5.7	1	F	A
43	75.4	1.125	67	42	95	20	1	5.5	0	F	F
44	60.7	1.065	57	45	90	16	0	5.2	1	M	E
45	57.9	1.206	48	36	95	8	1	5.2	1	F	D
46	62.2	1.091	57	39	75	20	0	3.9	1	M	E
47	62.2	1.091	57	37	95	5	0	5.5	1	M	E
48	70.1	1.230	57	34	90	11	1	5.3	1	F	E
49	61.7	1.083	57	41	95	21	0	6.6	0	M	E
50	61.4	1.077	57	38	80	12	0	4.6	0	M	E