You wish to know the average GPA of MBA students at Whatsamatta U. Compute the 95% confidence interval of the mean using the sample of 200 students Describe your findings. 2.You wish to kn
1.You wish to know the average GPA of MBA students at Whatsamatta U. Compute the 95% confidence interval of the mean using the sample of 200 students. Describe your findings.
2.You wish to know the proportion of MBA students that are majoring in Finance. Compute the 95% confidence interval of the proportion using the sample of 200 students. Describe your findings.
3.You wish to learn the average age of an MBA student within 2 years and with 99% confidence. How large of a sample should you get?
4.You wish to learn the proportion of MBA students that are female within 3%, and with 98% confidence. How large of a sample should you get?
Students
ID | Gender | Major | Employ | Age | MBA_GPA | BS GPA | Hrs_Studying | Works FT | ||
1 | 1 | No Major | Unemployed | 39 | 2.82 | 3.05 | 3 | 0 | Variable descriptions | |
2 | 1 | No Major | Full Time | 55 | 3.49 | 3.45 | 7 | 1 | Gender = 0 (male), 1 (female) | |
3 | 1 | No Major | Part Time | 43 | 3.28 | 3.5 | 7 | 0 | Major = student's major | |
4 | 1 | No Major | Full Time | 56 | 3.25 | 3.55 | 7 | 1 | Age = age of student in years | |
5 | 1 | No Major | Full Time | 38 | 3.26 | 3.3 | 6 | 1 | MBA_GPA = overall GPA in the MBA program | |
6 | 1 | No Major | Unemployed | 54 | 2.87 | 3.05 | 4 | 0 | BS_GPA = overall GPA in the BS program | |
7 | 1 | No Major | Full Time | 30 | 3.16 | 3.35 | 6 | 1 | Hrs_Studying = average hours studied per week | |
8 | 1 | No Major | Full Time | 37 | 3.4 | 3.35 | 6 | 1 | Works FT = 0 (No), 1 (Yes) | |
9 | 1 | No Major | Part Time | 38 | 2.84 | 3.05 | 3 | 0 | ||
10 | 1 | No Major | Full Time | 42 | 3.72 | 3.7 | 7 | 1 | ||
11 | 1 | No Major | Part Time | 52 | 3.22 | 3.5 | 7 | 0 | ||
12 | 1 | No Major | Full Time | 35 | 3.44 | 3.55 | 7 | 1 | ||
13 | 1 | No Major | Full Time | 37 | 3.65 | 3.9 | 8 | 1 | ||
14 | 1 | No Major | Full Time | 53 | 3.02 | 3.3 | 6 | 1 | ||
15 | 1 | No Major | Part Time | 51 | 3.03 | 3.25 | 6 | 0 | ||
16 | 1 | No Major | Full Time | 40 | 3.8 | 3.8 | 8 | 1 | ||
17 | 1 | No Major | Full Time | 33 | 3.23 | 3.5 | 7 | 1 | ||
18 | 1 | No Major | Part Time | 53 | 3.26 | 3.5 | 7 | 0 | ||
19 | 1 | No Major | Full Time | 43 | 3.53 | 3.75 | 8 | 1 | ||
20 | 1 | No Major | Unemployed | 35 | 3.75 | 3.9 | 8 | 0 | ||
21 | 1 | No Major | Full Time | 57 | 3.15 | 3.2 | 6 | 1 | ||
22 | 1 | No Major | Part Time | 32 | 3.66 | 3.75 | 8 | 0 | ||
23 | 1 | No Major | Full Time | 59 | 3.36 | 3.45 | 7 | 1 | ||
24 | 1 | No Major | Full Time | 48 | 3.79 | 3.85 | 8 | 1 | ||
25 | 1 | No Major | Part Time | 34 | 2.85 | 3.05 | 3 | 0 | ||
26 | 1 | No Major | Full Time | 53 | 3.74 | 3.9 | 8 | 1 | ||
27 | 1 | No Major | Part Time | 35 | 3.23 | 3.25 | 6 | 0 | ||
28 | 1 | No Major | Unemployed | 38 | 3.52 | 3.7 | 7 | 0 | ||
29 | 1 | No Major | Part Time | 37 | 3.32 | 3.45 | 7 | 0 | ||
30 | 1 | No Major | Full Time | 46 | 2.89 | 3.1 | 4 | 1 | ||
31 | 1 | No Major | Full Time | 44 | 2.83 | 3.05 | 3 | 1 | ||
32 | 1 | No Major | Unemployed | 31 | 2.93 | 3.1 | 5 | 0 | ||
33 | 1 | No Major | Full Time | 51 | 3.71 | 3.8 | 8 | 1 | ||
34 | 1 | No Major | Full Time | 47 | 3.47 | 3.75 | 8 | 1 | ||
35 | 1 | No Major | Part Time | 56 | 3.52 | 3.65 | 7 | 0 | ||
36 | 1 | Finance | Part Time | 42 | 2.83 | 3.05 | 3 | 0 | ||
37 | 1 | Finance | Full Time | 44 | 3.64 | 3.55 | 7 | 1 | ||
38 | 1 | Finance | Unemployed | 54 | 2.96 | 3.1 | 4 | 0 | ||
39 | 1 | Finance | Full Time | 51 | 3.59 | 3.8 | 8 | 1 | ||
40 | 1 | Finance | Part Time | 42 | 3.33 | 3.55 | 7 | 0 | ||
41 | 1 | Finance | Full Time | 45 | 3.38 | 3.6 | 7 | 1 | ||
42 | 1 | Finance | Full Time | 55 | 3.44 | 3.35 | 6 | 1 | ||
43 | 1 | Finance | Full Time | 47 | 3.31 | 3.45 | 7 | 1 | ||
44 | 1 | Finance | Unemployed | 43 | 3.03 | 3.25 | 6 | 0 | ||
45 | 1 | Finance | Full Time | 57 | 3.26 | 3.4 | 7 | 1 | ||
46 | 1 | Finance | Full Time | 36 | 3.04 | 3.25 | 6 | 1 | ||
47 | 1 | Finance | Part Time | 58 | 2.98 | 3.1 | 5 | 0 | ||
48 | 1 | Finance | Full Time | 46 | 2.8 | 3.05 | 2 | 1 | ||
49 | 1 | Finance | Full Time | 53 | 3.75 | 3.75 | 8 | 1 | ||
50 | 1 | Finance | Full Time | 59 | 3.64 | 3.65 | 7 | 1 | ||
51 | 1 | Finance | Full Time | 49 | 3.65 | 3.8 | 8 | 1 | ||
52 | 1 | Finance | Full Time | 34 | 3.18 | 3.3 | 6 | 1 | ||
53 | 1 | Finance | Full Time | 46 | 3.44 | 3.4 | 7 | 1 | ||
54 | 1 | Finance | Unemployed | 46 | 3.06 | 3.15 | 6 | 0 | ||
55 | 1 | Finance | Full Time | 33 | 3.51 | 3.75 | 8 | 1 | ||
56 | 1 | Finance | Part Time | 56 | 3.33 | 3.4 | 7 | 0 | ||
57 | 1 | Finance | Full Time | 39 | 2.81 | 3.05 | 2 | 1 | ||
58 | 1 | Finance | Full Time | 51 | 3.64 | 3.8 | 8 | 1 | ||
59 | 1 | Finance | Part Time | 55 | 3.05 | 3.4 | 7 | 0 | ||
60 | 1 | Finance | Full Time | 38 | 2.85 | 3.05 | 3 | 1 | ||
61 | 1 | Marketing | Full Time | 33 | 3.56 | 3.6 | 7 | 1 | ||
62 | 1 | Marketing | Full Time | 34 | 2.92 | 3.1 | 5 | 1 | ||
63 | 1 | Marketing | Full Time | 31 | 3.35 | 3.5 | 7 | 1 | ||
64 | 1 | Marketing | Full Time | 37 | 3.46 | 3.35 | 6 | 1 | ||
65 | 1 | Marketing | Full Time | 46 | 3.59 | 3.75 | 8 | 1 | ||
66 | 1 | Marketing | Unemployed | 31 | 3.11 | 3.2 | 6 | 0 | ||
67 | 1 | Marketing | Full Time | 47 | 3.65 | 3.7 | 8 | 1 | ||
68 | 1 | Marketing | Part Time | 54 | 3.17 | 3.5 | 7 | 0 | ||
69 | 1 | Marketing | Full Time | 52 | 2.97 | 3.1 | 5 | 1 | ||
70 | 1 | Marketing | Part Time | 43 | 3.77 | 3.9 | 8 | 0 | ||
71 | 1 | Leadership | Full Time | 44 | 3.21 | 3.2 | 6 | 1 | ||
72 | 1 | Leadership | Part Time | 34 | 3.17 | 3.15 | 6 | 0 | ||
73 | 1 | Leadership | Full Time | 59 | 3.65 | 3.65 | 7 | 1 | ||
74 | 1 | Leadership | Full Time | 45 | 2.94 | 3.1 | 5 | 1 | ||
75 | 1 | Leadership | Full Time | 30 | 3.53 | 3.7 | 8 | 1 | ||
76 | 1 | Leadership | Full Time | 32 | 3.65 | 3.6 | 7 | 1 | ||
77 | 1 | Leadership | Full Time | 32 | 3.61 | 3.7 | 8 | 1 | ||
78 | 1 | Leadership | Full Time | 40 | 3.7 | 3.9 | 8 | 1 | ||
79 | 1 | Leadership | Full Time | 48 | 2.91 | 3.1 | 5 |