You are in charge of conducting an analysis for your organization to discover if there is a relationship between an employee's performance rating and the number of sick days they take each year. Your coworker has already collected the data and it is ready for you to analyze.

Participant ID	Performance Rating	Number of Sick Days
32	4	21
33	5	21
40	6	18
5	12	12
39	12	14
7	13	13
10	16	11
23	21	7
2	23	12
42	23	14
50	23	5
20	25	12
24	32	11
27	32	10
13	34	10
48	34	6
38	42	7
19	53	9
16	56	8
29	56	10
31	56	8
43	56	21
46	56	21
6	64	20
30	65	19
34	65	10
45	65	10
1	67	9
18	67	7
21	67	4
28	67	2
35	67	12
49	67	1
8	68	1
37	73	1
12	74	3
4	75	4
44	76	5
14	78	2
3	83	2
47	84	7
36	87	5
26	89	9
15	90	10
22	90	4
9	95	4
11	96	1
17	97	5
25	98	1
41	99	6

First, plan your analysis. Second, conduct your analysis. Third, describe your analysis.

Part 1: Planning:

• What are the null and alternative hypotheses?
• Where did you obtain your data or who obtained it for you?

Part 2: Analysis

• What are the descriptive statistics for your sample? Include:
• Sample size
• Mean
• Median
• Mode
• Standard deviation
• Analysis Procedures: What did you do to conduct your analysis?

Part 3: Results and Discussion

• What are the test statistics and results? Include
• t statistic
• p-value
• What are the results? Are the results inferable to the population?
• Do you reject or fail to reject the null hypothesis? Explain.
• What do the results mean? What is your recommendation to the organization?