Create a frequency distribution & histogram on the GPAs of the students. Use ranges of 2.50-2.75, 2.75-3.00, 3.00-3.25, 3.25-3.50, 3.50-3.75 and 3.75-4.00. Describe your findings. 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 2 1 No Major Full Time 55 3.49 3.45 7 1 3 1 No Major Part Time 43 3.28 3.5 7 0 4 1 No Major Full Time 56 3.25 3.55 7 1 5 1 No Major Full Time 38 3.26 3.3 6 1 6 1 No Major Unemployed 54 2.87 3.05 4 0 7 1 No Major Full Time 30 3.16 3.35 6 1 8 1 No Major Full Time 37 3.4 3.35 6 1 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 1 80 1 Leadership Unemployed 51 3.09 3.25 6 0 81 1 Leadership Full Time 30 3.77 3.95 9 1 82 1 Leadership Full Time 31 3.79 3.8 8 1 83 1 Leadership Full Time 35 3.59 3.6 7 1 84 1 Leadership Full Time 33 3.38 3.5 7 1 85 1 Leadership Full Time 35 3.57 3.5 7 1 86 1 Leadership Full Time 31 2.97 3.1 5 1 87 1 Leadership Full Time 38 3.44 3.65 7 1 88 1 Leadership Part Time 46 3.64 3.55 7 0 89 1 Leadership Full Time 45 3.48 3.4 7 1 90 1 Leadership Full Time 59 2.99 3.1 5 1 91 1 Leadership Full Time 58 3.73 3.8 8 1 92 1 Leadership Full Time 46 2.91 3.05 4 1 93 1 Leadership Full Time 35 3.78 3.95 9 1 94 1 Leadership Part Time 53 3.4 3.4 7 0 95 1 Leadership Full Time 31 3.13 3.15 6 1 96 1 Leadership Full Time 50 3.14 3.25 6 1 97 1 Leadership Full Time 38 3.24 3.3 6 1 98 1 Leadership Full Time 50 3.56 3.5 7 1 99 1 Leadership Full Time 48 3.16 3.25 6 1 100 1 Leadership Full Time 53 3.53 3.55 7 1 Variable descriptions Gender = 0 (male), 1 (female) Major = student's major Age = age of student in years MBA_GPA = overall GPA in the MBA program BS_GPA = overall GPA in the BS program Hrs_Studying = average hours studied per week Works FT = 0 (No), 1 (Yes)
Create a frequency distribution & histogram on the GPAs of the students. Use ranges of 2.50-2.75, 2.75-3.00, 3.00-3.25, 3.25-3.50, 3.50-3.75 and 3.75-4.00. Describe your findings. 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 2 1 No Major Full Time 55 3.49 3.45 7 1 3 1 No Major Part Time 43 3.28 3.5 7 0 4 1 No Major Full Time 56 3.25 3.55 7 1 5 1 No Major Full Time 38 3.26 3.3 6 1 6 1 No Major Unemployed 54 2.87 3.05 4 0 7 1 No Major Full Time 30 3.16 3.35 6 1 8 1 No Major Full Time 37 3.4 3.35 6 1 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 1 80 1 Leadership Unemployed 51 3.09 3.25 6 0 81 1 Leadership Full Time 30 3.77 3.95 9 1 82 1 Leadership Full Time 31 3.79 3.8 8 1 83 1 Leadership Full Time 35 3.59 3.6 7 1 84 1 Leadership Full Time 33 3.38 3.5 7 1 85 1 Leadership Full Time 35 3.57 3.5 7 1 86 1 Leadership Full Time 31 2.97 3.1 5 1 87 1 Leadership Full Time 38 3.44 3.65 7 1 88 1 Leadership Part Time 46 3.64 3.55 7 0 89 1 Leadership Full Time 45 3.48 3.4 7 1 90 1 Leadership Full Time 59 2.99 3.1 5 1 91 1 Leadership Full Time 58 3.73 3.8 8 1 92 1 Leadership Full Time 46 2.91 3.05 4 1 93 1 Leadership Full Time 35 3.78 3.95 9 1 94 1 Leadership Part Time 53 3.4 3.4 7 0 95 1 Leadership Full Time 31 3.13 3.15 6 1 96 1 Leadership Full Time 50 3.14 3.25 6 1 97 1 Leadership Full Time 38 3.24 3.3 6 1 98 1 Leadership Full Time 50 3.56 3.5 7 1 99 1 Leadership Full Time 48 3.16 3.25 6 1 100 1 Leadership Full Time 53 3.53 3.55 7 1 Variable descriptions Gender = 0 (male), 1 (female) Major = student's major Age = age of student in years MBA_GPA = overall GPA in the MBA program BS_GPA = overall GPA in the BS program Hrs_Studying = average hours studied per week Works FT = 0 (No), 1 (Yes)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Create a frequency distribution & histogram on the GPAs of the students. Use
| 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 |
| 2 | 1 | No Major | Full Time | 55 | 3.49 | 3.45 | 7 | 1 |
| 3 | 1 | No Major | Part Time | 43 | 3.28 | 3.5 | 7 | 0 |
| 4 | 1 | No Major | Full Time | 56 | 3.25 | 3.55 | 7 | 1 |
| 5 | 1 | No Major | Full Time | 38 | 3.26 | 3.3 | 6 | 1 |
| 6 | 1 | No Major | Unemployed | 54 | 2.87 | 3.05 | 4 | 0 |
| 7 | 1 | No Major | Full Time | 30 | 3.16 | 3.35 | 6 | 1 |
| 8 | 1 | No Major | Full Time | 37 | 3.4 | 3.35 | 6 | 1 |
| 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 | 1 |
| 80 | 1 | Leadership | Unemployed | 51 | 3.09 | 3.25 | 6 | 0 |
| 81 | 1 | Leadership | Full Time | 30 | 3.77 | 3.95 | 9 | 1 |
| 82 | 1 | Leadership | Full Time | 31 | 3.79 | 3.8 | 8 | 1 |
| 83 | 1 | Leadership | Full Time | 35 | 3.59 | 3.6 | 7 | 1 |
| 84 | 1 | Leadership | Full Time | 33 | 3.38 | 3.5 | 7 | 1 |
| 85 | 1 | Leadership | Full Time | 35 | 3.57 | 3.5 | 7 | 1 |
| 86 | 1 | Leadership | Full Time | 31 | 2.97 | 3.1 | 5 | 1 |
| 87 | 1 | Leadership | Full Time | 38 | 3.44 | 3.65 | 7 | 1 |
| 88 | 1 | Leadership | Part Time | 46 | 3.64 | 3.55 | 7 | 0 |
| 89 | 1 | Leadership | Full Time | 45 | 3.48 | 3.4 | 7 | 1 |
| 90 | 1 | Leadership | Full Time | 59 | 2.99 | 3.1 | 5 | 1 |
| 91 | 1 | Leadership | Full Time | 58 | 3.73 | 3.8 | 8 | 1 |
| 92 | 1 | Leadership | Full Time | 46 | 2.91 | 3.05 | 4 | 1 |
| 93 | 1 | Leadership | Full Time | 35 | 3.78 | 3.95 | 9 | 1 |
| 94 | 1 | Leadership | Part Time | 53 | 3.4 | 3.4 | 7 | 0 |
| 95 | 1 | Leadership | Full Time | 31 | 3.13 | 3.15 | 6 | 1 |
| 96 | 1 | Leadership | Full Time | 50 | 3.14 | 3.25 | 6 | 1 |
| 97 | 1 | Leadership | Full Time | 38 | 3.24 | 3.3 | 6 | 1 |
| 98 | 1 | Leadership | Full Time | 50 | 3.56 | 3.5 | 7 | 1 |
| 99 | 1 | Leadership | Full Time | 48 | 3.16 | 3.25 | 6 | 1 |
| 100 | 1 | Leadership | Full Time | 53 | 3.53 | 3.55 | 7 |
1
|
| Variable descriptions |
| Gender = 0 (male), 1 (female) |
| Major = student's major |
| Age = age of student in years |
| MBA_GPA = overall GPA in the MBA program |
| BS_GPA = overall GPA in the BS program |
| Hrs_Studying = average hours studied per week |
| Works FT = 0 (No), 1 (Yes) |
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