Question
Observation No Age at death Mother's age at death Father's age at death No of years of employment Gender 16 81 82 77 30 Female
Observation No | Age at death | Mother's age at death | Father's age at death | No of years of employment | Gender |
16 | 81 | 82 | 77 | 30 | Female |
17 | 66 | 80 | 63 | 35 | Female |
18 | 68 | 72 | 71 | 33 | Female |
19 | 72 | 71 | 66 | 30 | Male |
20 | 71 | 76 | 61 | 35 | Female |
21 | 62 | 65 | 57 | 36 | Female |
22 | 71 | 71 | 71 | 41 | Female |
23 | 67 | 68 | 68 | 25 | Female |
24 | 67 | 69 | 66 | 37 | Female |
25 | 79 | 88 | 73 | 20 | Male |
26 | 67 | 73 | 62 | 30 | Male |
27 | 71 | 76 | 67 | 25 | Male |
28 | 73 | 79 | 71 | 40 | Male |
29 | 72 | 66 | 75 | 40 | Male |
30 | 74 | 78 | 68 | 25 | Female |
31 | 74 | 82 | 66 | 20 | Male |
32 | 89 | 86 | 77 | 20 | Male |
33 | 83 | 90 | 72 | 20 | Female |
34 | 78 | 82 | 72 | 33 | Male |
35 | 71 | 78 | 64 | 40 | Female |
36 | 73 | 69 | 80 | 35 | Male |
37 | 74 | 79 | 71 | 35 | Female |
38 | 71 | 73 | 72 | 41 | Female |
39 | 77 | 72 | 72 | 20 | Male |
40 | 77 | 79 | 74 | 25 | Male |
41 | 74 | 77 | 64 | 15 | Male |
42 | 72 | 78 | 64 | 33 | Male |
43 | 77 | 85 | 77 | 18 | Male |
44 | 66 | 74 | 64 | 38 | Female |
45 | 70 | 67 | 65 | 38 | Female |
46 | 63 | 71 | 56 | 38 | Female |
47 | 82 | 83 | 78 | 25 | Female |
48 | 66 | 64 | 66 | 36 | Male |
49 | 74 | 76 | 66 | 35 | Male |
50 | 74 | 82 | 71 | 41 | Male |
51 | 77 | 85 | 69 | 31 | Male |
52 | 69 | 72 | 63 | 32 | Female |
53 | 72 | 77 | 69 | 40 | Male |
54 | 67 | 68 | 69 | 38 | Female |
55 | 74 | 71 | 76 | 45 | Male |
56 | 67 | 76 | 62 | 25 | Male |
57 | 68 | 74 | 62 | 30 | Female |
58 | 68 | 74 | 79 | 30 | Female |
59 | 71 | 71 | 60 | 28 | Male |
60 | 84 | 80 | 90 | 15 | Male |
61 | 78 | 82 | 70 | 40 | Male |
62 | 76 | 82 | 65 | 22 | Female |
63 | 68 | 71 | 61 | 35 | Female |
64 | 70 | 66 | 75 | 36 | Female |
65 | 77 | 82 | 76 | 30 | Male |
66 | 73 | 67 | 71 | 25 | Male |
67 | 72 | 78 | 70 | 30 | Male |
68 | 77 | 75 | 66 | 25 | Male |
69 | 75 | 73 | 69 | 30 | Female |
70 | 71 | 77 | 70 | 30 | Male |
71 | 70 | 77 | 60 | 41 | Female |
72 | 65 | 75 | 60 | 25 | Female |
73 | 68 | 72 | 66 | 31 | Female |
74 | 71 | 70 | 70 | 43 | Female |
75 | 68 | 75 | 63 | 32 | Female |
76 | 59 | 59 | 62 | 35 | Female |
77 | 83 | 82 | 82 | 30 | Male |
78 | 66 | 69 | 68 | 38 | Male |
79 | 76 | 80 | 70 | 31 | Male |
80 | 65 | 66 | 63 | 33 | Male |
81 | 70 | 66 | 68 | 25 | Female |
82 | 76 | 88 | 69 | 30 | Male |
83 | 74 | 79 | 70 | 25 | Male |
84 | 73 | 80 | 75 | 41 | Male |
85 | 75 | 76 | 72 | 25 | Male |
86 | 70 | 75 | 57 | 38 | Female |
87 | 80 | 84 | 75 | 18 | Male |
88 | 72 | 72 | 77 | 35 | Male |
89 | 80 | 74 | 77 | 20 | Male |
90 | 72 | 85 | 60 | 25 | Male |
91 | 72 | 73 | 69 | 33 | Male |
92 | 64 | 71 | 67 | 30 | Female |
93 | 73 | 88 | 63 | 30 | Male |
94 | 80 | 85 | 78 | 30 | Male |
95 | 72 | 78 | 64 | 30 | Male |
1. Perform descriptive statistical analysis in excel and make a table with following descriptive measures for quantitative variables in your data set. Mean, median, mode, variance, standard deviation, skewness, kurtosis, coefficient of variation. (4 marks)
2. Briefly comment on the descriptive statistics in the question 1 and explain the nature of the distribution (whether the variables are normally distributed or not) of those variables. Use graphs where necessary. (4 marks)
3. Construct suitable graphs to represent the relationship between dependent variables and each quantitative independent variable in your data set.
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