Question: Case4. Job Performance Evaluation Mr. Ito is a personnel division manager of a corporation X that produces chemical producers such as cosmetics, treatments, additives, drugs

Case4. Job Performance Evaluation Mr. Ito is a personnel division manager of a corporation X that produces chemical producers such as cosmetics, treatments, additives, drugs etc. He is directed by his superior to analyze the 70 sales employees of the overall one-year performance and make a report summarizing the analysis. He is provided an attached file (File: Employee's Evaluation) which contains "Individual ID"(Column1), "Production Division ID(Column2), Gender (Column3), Quarterly Sales (thousand US dollars) (Column4-7, and sum in Column8), and test score (evaluating an individual potential capability, Column 9 full score is 100 points), Column 10 is job satisfaction, Column 11 is employee's evaluation of the superior (low 0 to high 5). Grading is required to evaluate an individual by five ranks with specified distribution from top notch A 10%, B:20%, C:30%, D:30%, to low grade E:10%.

a. Mr. Ito evaluates employees based on the superior's guidance to evaluate all 70 employees with "sales" whose weight is 2/3 and "test score weight 1/3. Use and report statistical notion such as the mean, standard deviation, percentile, and others to analyze. Show grade of ID 1-5.

b. What reservations and limitation should Mr. Ito present in his report? To simplify the analysis and to make a quick evaluation, can Mr. Ito use Q1 and Q2 sales instead of Q1- Q4 sales? Or can he use just only "test score" to achieve the same grading results as in a ?

c. When Mr. Ito attempts to use additional data in the file such as product division, job satisfaction, what evaluation he could make? In adopting a method to include other available data in this file evaluate employees and compare the results of ID 1-5 made in question a.

1 2 3 4 5 6 7 8 9 10 11
Employee ID Product Group ID Gender 0=femal, 1=male Sale Q1 Sale Q2 Sale Q3 Sale Q4 Sale Sum Test score (100) Job satisfaction Superior Satisfaction (1)
1 1 0 2 3 3 3 11 63 4 1
2 1 0 1 2 2 1 6 61 3 4
3 1 1 0 1 2 0 3 46 1 5
4 1 1 1 3 3 2 9 62 4 5
5 1 0 3 1 2 3 9 56 0 5
6 1 1 0 1 1 0 2 57 5 3
7 1 0 2 3 1 1 7 59 3 4
8 1 0 2 1 2 2 7 67 0 1
9 2 1 2 1 0 2 5 66 1 0
10 2 0 2 6 4 4 16 51 3 3
11 2 1 2 2 2 1 7 48 3 1
12 2 0 1 1 1 4 7 71 5 0
13 2 1 0 1 2 1 4 53 4 4
14 2 0 2 2 1 3 8 53 4 1
15 2 0 2 2 3 4 11 68 5 4
16 2 1 3 2 3 3 11 63 3 5
17 2 0 1 0 1 NA(2) 2 72 0 3
18 2 1 3 2 3 3 11 74 2 1
19 2 0 4 2 1 2 9 64 1 5
20 2 1 4 6 3 4 17 55 5 2
21 2 1 1 3 2 2 8 71 5 0
22 2 1 1 2 1 1 5 52 0 4
23 2 0 5 3 2 3 13 61 5 3
24 2 0 1 1 1 2 5 67 3 1
25 2 1 1 2 3 2 8 72 4 4
26 2 1 1 0 0 0 1 0 2 1
27 2 0 2 0 1 2 5 46 3 0
28 2 0 4 2 3 6 15 66 0 5
29 2 1 4 2 5 3 14 70 1 5
30 3 0 2 2 1 2 7 52 4 1
31 3 1 2 2 0 1 5 31 3 3
32 3 1 3 3 3 4 13 20 3 2
33 3 0 2 1 2 0 5 61 4 0
34 3 1 1 0 2 2 5 57 5 3
35 3 0 4 1 2 0 7 65 1 2
36 3 1 1 3 4 3 11 69 5 5
37 3 0 2 3 2 1 8 62 2 3
38 3 1 3 3 1 2 9 68 1 4
39 3 0 2 1 2 3 8 59 2 2
40 3 0 1 1 4 4 10 66 0 3
41 3 1 2 2 2 4 10 70 0 0
42 3 0 0 2 4 1 7 55 0 5
43 3 1 1 2 1 3 7 40 0 4
44 3 0 1 5 1 2 9 68 0 5
45 3 0 0 2 2 2 6 54 3 5
46 3 0 4 4 3 6 17 69 5 3
47 3 1 1 2 1 3 7 67 1 2
48 3 1 3 1 1 0 5 70 5 1
49 4 0 5 5 2 3 15 73 3 2
50 4 0 2 1 3 2 8 71 4 5
51 4 1 3 2 2 1 8 72 4 5
52 4 0 2 1 1 4 8 30 0 0
53 4 1 1 3 5 4 13 39 2 2
54 4 0 2 3 2 2 9 63 4 4
55 4 0 5 4 4 6 19 72 2 0
56 4 0 4 2 2 1 9 54 4 2
57 4 1 8 3 3 1 15 52 5 0
58 4 0 8 6 3 3 20 60 0 5
59 4 1 1 1 1 2 5 59 3 1
60 4 1 4 3 5 3 15 70 1 0
61 4 1 5 2 5 4 16 78 0 3
62 5 0 3 3 3 2 11 70 0 2
63 5 1 2 1 2 2 7 71 0 5
64 5 0 2 2 1 2 7 76 2 1
65 5 1 1 1 2 3 7 15 5 5
66 5 0 3 2 2 3 10 65 1 5
67 5 1 2 2 1 1 6 61 5 2
68 5 1 0 1 1 1 3 55 5 3
69 5 1 2 2 2 3 9 50 1 3
70 5 1 4 6 2 6 18 75 1 5
70 70
AVERAGE 8,9 59,3
MODE 7,0 70,0
MEDIAN 8,0 62,5
VAR.P 18,0 205,8
VAR.S 18,3 208,7
STDEV.P 4,2 14,3
STDEV.S 4,3 14,4
MAX 20,0 78,0
Q3 11,0 70,0
Q2 8,0 62,5
Q1 6,0 53,8
MIN 1,0 0,0

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