Use the Student_Data which consists of 200 MBA students at Whatsamattu U. It includes variables regarding their age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, and weekly hours spent studying. Perform a categorical analysis on the majors of students enrolled in the MBA. Describe your findings. 101 0 No Major Unemployed 53 3.01 3.15 6 0 102 0 Leadership Full Time 30 3.3 3.35 6 1 103 0 No Major Part Time 32 3.62 3.6 7 0 104 0 Leadership Full Time 42 3.21 3.4 7 1 105 0 Leadership Full Time 56 3.39 3.4 7 1 106 0 No Major Full Time 46 3.65 3.8 8 1 107 0 Leadership Full Time 49 3.47 3.7 8 1 108 0 No Major Part Time 32 3.44 3.6 7 0 109 0 No Major Full Time 36 3.88 3.95 9 1 110 0 Leadership Full Time 42 3.83 3.95 9 1 111 0 No Major Part Time 37 3.53 3.6 7 0 112 0 No Major Full Time 31 3.22 3.3 6 1 113 0 No Major Full Time 31 3.56 3.8 8 1 114 0 No Major Unemployed 42 3.2 3.25 6 0 115 0 No Major Full Time 39 3.17 3.3 6 1 116 0 No Major Full Time 47 3.41 3.6 7 1 117 0 No Major Part Time 28 3.56 3.7 8 0 118 0 No Major Unemployed 28 3.34 3.6 7 0 119 0 No Major Full Time 52 3.44 3.6 7 1 120 0 No Major Part Time 35 3.76 3.8 8 0 121 0 Finance Full Time 38 3.55 3.45 7 1 122 0 Finance Full Time 44 3.88 3.9 8 1 123 0 Finance Part Time 38 3.31 3.45 7 0 124 0 Finance Full Time 52 3.09 3.15 6 1 125 0 Finance Unemployed 53 3.82 4 9 0 126 0 Finance Part Time 53 3.01 3.2 6 0 127 0 Finance Full Time 31 3.66 3.85 8 1 128 0 Finance Part Time 47 3.64 3.7 8 0 129 0 Finance Full Time 51 3.59 3.65 7 1 130 0 Finance Unemployed 37 3.49 3.55 7 0 131 0 Finance Part Time 46 3.13 3.2 6 0 132 0 Finance Full Time 48 3.83 3.9 8 1 133 0 Finance Full Time 54 3.04 3.15 6 1 134 0 Finance Full Time 48 3.91 4 10 1 135 0 Finance Full Time 36 3.56 3.7 8 1 136 0 Finance Unemployed 39 3.96 4 9 0 137 0 Finance Full Time 28 3.46 3.4 7 1 138 0 Finance Part Time 45 3.22 3.15 6 0 139 0 Finance Full Time 31 3.27 3.2 6 1 140 0 Finance Full Time 47 3.43 3.45 7 1 141 0 Finance Part Time 35 3.85 3.95 9 0 142 0 Finance Full Time 52 3.89 3.9 8 1 143 0 Finance Part Time 52 3.37 3.45 7 0 144 0 Finance Unemployed 55 3.32 3.3 6 0 145 0 Finance Full Time 52 3.54 3.55 7 1 146 0 Finance Part Time 46 3.8 3.9 8 0 147 0 Finance Full Time 31 3.74 3.85 8 1 148 0 Finance Full Time 33 3.17 3.45 7 1 149 0 Finance Part Time 45 3.27 3.55 7 0 150 0 Finance Full Time 50 3.32 3.3 6 1 151 0 Marketing Part Time 33 3.56 3.45 7 0 152 0 Marketing Full Time 37 3.95 4 9 1 153 0 Marketing Unemployed 33 3.56 3.75 8 0 154 0 Marketing Full Time 46 3.79 3.75 8 1 155 0 Marketing Part Time 55 3.93 4 9 0 156 0 Marketing Full Time 30 3.79 3.85 8 1 157 0 Marketing Full Time 51 3.71 3.85 8 1 158 0 Marketing Part Time 35 3.05 3.35 6 0 159 0 Marketing Unemployed 40 3.22 3.2 6 0 160 0 Marketing Part Time 29 3.85 3.95 9 0 161 0 Marketing Full Time 52 3.82 3.95 9 1 162 0 Marketing Full Time 27 3.23 3.95 9 1 163 0 Marketing Full Time 51 3.56 3.65 7 1 164 0 Marketing Part Time 56 3.53 3.65 7 0 165 0 Marketing Full Time 35 3.62 4 9 1 166 0 Leadership Full Time 46 3.8 3.95 9 1 167 0 Leadership Part Time 39 3.47 3.35 6 0 168 0 Leadership Full Time 31 3.64 3.65 7 1 169 0 Leadership Full Time 52 3.03 3.15 5 1 170 0 Leadership Unemployed 32 3.17 3.25 6 0 171 0 Leadership Part Time 32 3.22 3.2 6 0 172 0 Leadership Full Time 44 3.92 4 10 1 173 0 Leadership Full Time 43 3.82 3.95 9 1 174 0 Leadership Part Time 38 3.26 3.55 7 0 175 0 Leadership Full Time 54 3.8 3.85 8 1 176 0 Leadership Full Time 27 3.2 3.2 6 1 177 0 Leadership Part Time 38 3.46 3.35 6 0 178 0 Leadership Full Time 45 3.67 3.75 8 1 179 0 Leadership Unemployed 48 3.06 3.4 7 0 180 0 Leadership Full Time 43 3.66 3.85 8 1 181 0 Leadership Full Time 34 3.96 4 10 1 182 0 Leadership Full Time 54 3.75 3.85 8 1 183 0 Leadership Full Time 36 3.83 3.85 8 1 184 0 Leadership Full Time 45 3.22 3.2 6 1 185 0 Leadership Unemployed 28 3.36 3.35 6 0 186 0 Leadership Full Time 37 3.21 3.25 6 1 187 0 Leadership Full Time 27 3.02 3.15 5 1 188 0 Leadership Full Time 31 3.99 4 10 1 189 0 Leadership Unemployed 45 3.07 3.15 6 0 190 0 Leadership Full Time 48 3.65 3.65 7 1 191 0 Leadership Full Time 50 3.67 3.85 8 1 192 0 Leadership Full Time 32 3.06 3.35 6 1 193 0 Leadership Unemployed 33 3.98 3.7 8 0 194 0 Leadership Full Time 49 3.93 4 10 1 195 0 Leadership Unemployed 27 3.41 3.3 6 0 196 0 Leadership Part Time 28 3.43 3.5 7 0 197 0 Leadership Full Time 36 3.7 3.65 7 1 198 0 Leadership Full Time 35 3.76 3.75 8 1 199 0 Leadership Part Time 47 3.9 3.9 8 0 200 0 Leadership Full Time 33 3.23 3.3 6 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)
Use the Student_Data which consists of 200 MBA students at Whatsamattu U. It includes variables regarding their age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, and weekly hours spent studying. Perform a categorical analysis on the majors of students enrolled in the MBA. Describe your findings. 101 0 No Major Unemployed 53 3.01 3.15 6 0 102 0 Leadership Full Time 30 3.3 3.35 6 1 103 0 No Major Part Time 32 3.62 3.6 7 0 104 0 Leadership Full Time 42 3.21 3.4 7 1 105 0 Leadership Full Time 56 3.39 3.4 7 1 106 0 No Major Full Time 46 3.65 3.8 8 1 107 0 Leadership Full Time 49 3.47 3.7 8 1 108 0 No Major Part Time 32 3.44 3.6 7 0 109 0 No Major Full Time 36 3.88 3.95 9 1 110 0 Leadership Full Time 42 3.83 3.95 9 1 111 0 No Major Part Time 37 3.53 3.6 7 0 112 0 No Major Full Time 31 3.22 3.3 6 1 113 0 No Major Full Time 31 3.56 3.8 8 1 114 0 No Major Unemployed 42 3.2 3.25 6 0 115 0 No Major Full Time 39 3.17 3.3 6 1 116 0 No Major Full Time 47 3.41 3.6 7 1 117 0 No Major Part Time 28 3.56 3.7 8 0 118 0 No Major Unemployed 28 3.34 3.6 7 0 119 0 No Major Full Time 52 3.44 3.6 7 1 120 0 No Major Part Time 35 3.76 3.8 8 0 121 0 Finance Full Time 38 3.55 3.45 7 1 122 0 Finance Full Time 44 3.88 3.9 8 1 123 0 Finance Part Time 38 3.31 3.45 7 0 124 0 Finance Full Time 52 3.09 3.15 6 1 125 0 Finance Unemployed 53 3.82 4 9 0 126 0 Finance Part Time 53 3.01 3.2 6 0 127 0 Finance Full Time 31 3.66 3.85 8 1 128 0 Finance Part Time 47 3.64 3.7 8 0 129 0 Finance Full Time 51 3.59 3.65 7 1 130 0 Finance Unemployed 37 3.49 3.55 7 0 131 0 Finance Part Time 46 3.13 3.2 6 0 132 0 Finance Full Time 48 3.83 3.9 8 1 133 0 Finance Full Time 54 3.04 3.15 6 1 134 0 Finance Full Time 48 3.91 4 10 1 135 0 Finance Full Time 36 3.56 3.7 8 1 136 0 Finance Unemployed 39 3.96 4 9 0 137 0 Finance Full Time 28 3.46 3.4 7 1 138 0 Finance Part Time 45 3.22 3.15 6 0 139 0 Finance Full Time 31 3.27 3.2 6 1 140 0 Finance Full Time 47 3.43 3.45 7 1 141 0 Finance Part Time 35 3.85 3.95 9 0 142 0 Finance Full Time 52 3.89 3.9 8 1 143 0 Finance Part Time 52 3.37 3.45 7 0 144 0 Finance Unemployed 55 3.32 3.3 6 0 145 0 Finance Full Time 52 3.54 3.55 7 1 146 0 Finance Part Time 46 3.8 3.9 8 0 147 0 Finance Full Time 31 3.74 3.85 8 1 148 0 Finance Full Time 33 3.17 3.45 7 1 149 0 Finance Part Time 45 3.27 3.55 7 0 150 0 Finance Full Time 50 3.32 3.3 6 1 151 0 Marketing Part Time 33 3.56 3.45 7 0 152 0 Marketing Full Time 37 3.95 4 9 1 153 0 Marketing Unemployed 33 3.56 3.75 8 0 154 0 Marketing Full Time 46 3.79 3.75 8 1 155 0 Marketing Part Time 55 3.93 4 9 0 156 0 Marketing Full Time 30 3.79 3.85 8 1 157 0 Marketing Full Time 51 3.71 3.85 8 1 158 0 Marketing Part Time 35 3.05 3.35 6 0 159 0 Marketing Unemployed 40 3.22 3.2 6 0 160 0 Marketing Part Time 29 3.85 3.95 9 0 161 0 Marketing Full Time 52 3.82 3.95 9 1 162 0 Marketing Full Time 27 3.23 3.95 9 1 163 0 Marketing Full Time 51 3.56 3.65 7 1 164 0 Marketing Part Time 56 3.53 3.65 7 0 165 0 Marketing Full Time 35 3.62 4 9 1 166 0 Leadership Full Time 46 3.8 3.95 9 1 167 0 Leadership Part Time 39 3.47 3.35 6 0 168 0 Leadership Full Time 31 3.64 3.65 7 1 169 0 Leadership Full Time 52 3.03 3.15 5 1 170 0 Leadership Unemployed 32 3.17 3.25 6 0 171 0 Leadership Part Time 32 3.22 3.2 6 0 172 0 Leadership Full Time 44 3.92 4 10 1 173 0 Leadership Full Time 43 3.82 3.95 9 1 174 0 Leadership Part Time 38 3.26 3.55 7 0 175 0 Leadership Full Time 54 3.8 3.85 8 1 176 0 Leadership Full Time 27 3.2 3.2 6 1 177 0 Leadership Part Time 38 3.46 3.35 6 0 178 0 Leadership Full Time 45 3.67 3.75 8 1 179 0 Leadership Unemployed 48 3.06 3.4 7 0 180 0 Leadership Full Time 43 3.66 3.85 8 1 181 0 Leadership Full Time 34 3.96 4 10 1 182 0 Leadership Full Time 54 3.75 3.85 8 1 183 0 Leadership Full Time 36 3.83 3.85 8 1 184 0 Leadership Full Time 45 3.22 3.2 6 1 185 0 Leadership Unemployed 28 3.36 3.35 6 0 186 0 Leadership Full Time 37 3.21 3.25 6 1 187 0 Leadership Full Time 27 3.02 3.15 5 1 188 0 Leadership Full Time 31 3.99 4 10 1 189 0 Leadership Unemployed 45 3.07 3.15 6 0 190 0 Leadership Full Time 48 3.65 3.65 7 1 191 0 Leadership Full Time 50 3.67 3.85 8 1 192 0 Leadership Full Time 32 3.06 3.35 6 1 193 0 Leadership Unemployed 33 3.98 3.7 8 0 194 0 Leadership Full Time 49 3.93 4 10 1 195 0 Leadership Unemployed 27 3.41 3.3 6 0 196 0 Leadership Part Time 28 3.43 3.5 7 0 197 0 Leadership Full Time 36 3.7 3.65 7 1 198 0 Leadership Full Time 35 3.76 3.75 8 1 199 0 Leadership Part Time 47 3.9 3.9 8 0 200 0 Leadership Full Time 33 3.23 3.3 6 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
Use the Student_Data which consists of 200 MBA students at Whatsamattu U. It includes variables regarding their age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, and weekly hours spent studying.
Perform a categorical analysis on the majors of students enrolled in the MBA. Describe your findings.
| 101 | 0 | No Major | Unemployed | 53 | 3.01 | 3.15 | 6 | 0 |
| 102 | 0 | Leadership | Full Time | 30 | 3.3 | 3.35 | 6 | 1 |
| 103 | 0 | No Major | Part Time | 32 | 3.62 | 3.6 | 7 | 0 |
| 104 | 0 | Leadership | Full Time | 42 | 3.21 | 3.4 | 7 | 1 |
| 105 | 0 | Leadership | Full Time | 56 | 3.39 | 3.4 | 7 | 1 |
| 106 | 0 | No Major | Full Time | 46 | 3.65 | 3.8 | 8 | 1 |
| 107 | 0 | Leadership | Full Time | 49 | 3.47 | 3.7 | 8 | 1 |
| 108 | 0 | No Major | Part Time | 32 | 3.44 | 3.6 | 7 | 0 |
| 109 | 0 | No Major | Full Time | 36 | 3.88 | 3.95 | 9 | 1 |
| 110 | 0 | Leadership | Full Time | 42 | 3.83 | 3.95 | 9 | 1 |
| 111 | 0 | No Major | Part Time | 37 | 3.53 | 3.6 | 7 | 0 |
| 112 | 0 | No Major | Full Time | 31 | 3.22 | 3.3 | 6 | 1 |
| 113 | 0 | No Major | Full Time | 31 | 3.56 | 3.8 | 8 | 1 |
| 114 | 0 | No Major | Unemployed | 42 | 3.2 | 3.25 | 6 | 0 |
| 115 | 0 | No Major | Full Time | 39 | 3.17 | 3.3 | 6 | 1 |
| 116 | 0 | No Major | Full Time | 47 | 3.41 | 3.6 | 7 | 1 |
| 117 | 0 | No Major | Part Time | 28 | 3.56 | 3.7 | 8 | 0 |
| 118 | 0 | No Major | Unemployed | 28 | 3.34 | 3.6 | 7 | 0 |
| 119 | 0 | No Major | Full Time | 52 | 3.44 | 3.6 | 7 | 1 |
| 120 | 0 | No Major | Part Time | 35 | 3.76 | 3.8 | 8 | 0 |
| 121 | 0 | Finance | Full Time | 38 | 3.55 | 3.45 | 7 | 1 |
| 122 | 0 | Finance | Full Time | 44 | 3.88 | 3.9 | 8 | 1 |
| 123 | 0 | Finance | Part Time | 38 | 3.31 | 3.45 | 7 | 0 |
| 124 | 0 | Finance | Full Time | 52 | 3.09 | 3.15 | 6 | 1 |
| 125 | 0 | Finance | Unemployed | 53 | 3.82 | 4 | 9 | 0 |
| 126 | 0 | Finance | Part Time | 53 | 3.01 | 3.2 | 6 | 0 |
| 127 | 0 | Finance | Full Time | 31 | 3.66 | 3.85 | 8 | 1 |
| 128 | 0 | Finance | Part Time | 47 | 3.64 | 3.7 | 8 | 0 |
| 129 | 0 | Finance | Full Time | 51 | 3.59 | 3.65 | 7 | 1 |
| 130 | 0 | Finance | Unemployed | 37 | 3.49 | 3.55 | 7 | 0 |
| 131 | 0 | Finance | Part Time | 46 | 3.13 | 3.2 | 6 | 0 |
| 132 | 0 | Finance | Full Time | 48 | 3.83 | 3.9 | 8 | 1 |
| 133 | 0 | Finance | Full Time | 54 | 3.04 | 3.15 | 6 | 1 |
| 134 | 0 | Finance | Full Time | 48 | 3.91 | 4 | 10 | 1 |
| 135 | 0 | Finance | Full Time | 36 | 3.56 | 3.7 | 8 | 1 |
| 136 | 0 | Finance | Unemployed | 39 | 3.96 | 4 | 9 | 0 |
| 137 | 0 | Finance | Full Time | 28 | 3.46 | 3.4 | 7 | 1 |
| 138 | 0 | Finance | Part Time | 45 | 3.22 | 3.15 | 6 | 0 |
| 139 | 0 | Finance | Full Time | 31 | 3.27 | 3.2 | 6 | 1 |
| 140 | 0 | Finance | Full Time | 47 | 3.43 | 3.45 | 7 | 1 |
| 141 | 0 | Finance | Part Time | 35 | 3.85 | 3.95 | 9 | 0 |
| 142 | 0 | Finance | Full Time | 52 | 3.89 | 3.9 | 8 | 1 |
| 143 | 0 | Finance | Part Time | 52 | 3.37 | 3.45 | 7 | 0 |
| 144 | 0 | Finance | Unemployed | 55 | 3.32 | 3.3 | 6 | 0 |
| 145 | 0 | Finance | Full Time | 52 | 3.54 | 3.55 | 7 | 1 |
| 146 | 0 | Finance | Part Time | 46 | 3.8 | 3.9 | 8 | 0 |
| 147 | 0 | Finance | Full Time | 31 | 3.74 | 3.85 | 8 | 1 |
| 148 | 0 | Finance | Full Time | 33 | 3.17 | 3.45 | 7 | 1 |
| 149 | 0 | Finance | Part Time | 45 | 3.27 | 3.55 | 7 | 0 |
| 150 | 0 | Finance | Full Time | 50 | 3.32 | 3.3 | 6 | 1 |
| 151 | 0 | Marketing | Part Time | 33 | 3.56 | 3.45 | 7 | 0 |
| 152 | 0 | Marketing | Full Time | 37 | 3.95 | 4 | 9 | 1 |
| 153 | 0 | Marketing | Unemployed | 33 | 3.56 | 3.75 | 8 | 0 |
| 154 | 0 | Marketing | Full Time | 46 | 3.79 | 3.75 | 8 | 1 |
| 155 | 0 | Marketing | Part Time | 55 | 3.93 | 4 | 9 | 0 |
| 156 | 0 | Marketing | Full Time | 30 | 3.79 | 3.85 | 8 | 1 |
| 157 | 0 | Marketing | Full Time | 51 | 3.71 | 3.85 | 8 | 1 |
| 158 | 0 | Marketing | Part Time | 35 | 3.05 | 3.35 | 6 | 0 |
| 159 | 0 | Marketing | Unemployed | 40 | 3.22 | 3.2 | 6 | 0 |
| 160 | 0 | Marketing | Part Time | 29 | 3.85 | 3.95 | 9 | 0 |
| 161 | 0 | Marketing | Full Time | 52 | 3.82 | 3.95 | 9 | 1 |
| 162 | 0 | Marketing | Full Time | 27 | 3.23 | 3.95 | 9 | 1 |
| 163 | 0 | Marketing | Full Time | 51 | 3.56 | 3.65 | 7 | 1 |
| 164 | 0 | Marketing | Part Time | 56 | 3.53 | 3.65 | 7 | 0 |
| 165 | 0 | Marketing | Full Time | 35 | 3.62 | 4 | 9 | 1 |
| 166 | 0 | Leadership | Full Time | 46 | 3.8 | 3.95 | 9 | 1 |
| 167 | 0 | Leadership | Part Time | 39 | 3.47 | 3.35 | 6 | 0 |
| 168 | 0 | Leadership | Full Time | 31 | 3.64 | 3.65 | 7 | 1 |
| 169 | 0 | Leadership | Full Time | 52 | 3.03 | 3.15 | 5 | 1 |
| 170 | 0 | Leadership | Unemployed | 32 | 3.17 | 3.25 | 6 | 0 |
| 171 | 0 | Leadership | Part Time | 32 | 3.22 | 3.2 | 6 | 0 |
| 172 | 0 | Leadership | Full Time | 44 | 3.92 | 4 | 10 | 1 |
| 173 | 0 | Leadership | Full Time | 43 | 3.82 | 3.95 | 9 | 1 |
| 174 | 0 | Leadership | Part Time | 38 | 3.26 | 3.55 | 7 | 0 |
| 175 | 0 | Leadership | Full Time | 54 | 3.8 | 3.85 | 8 | 1 |
| 176 | 0 | Leadership | Full Time | 27 | 3.2 | 3.2 | 6 | 1 |
| 177 | 0 | Leadership | Part Time | 38 | 3.46 | 3.35 | 6 | 0 |
| 178 | 0 | Leadership | Full Time | 45 | 3.67 | 3.75 | 8 | 1 |
| 179 | 0 | Leadership | Unemployed | 48 | 3.06 | 3.4 | 7 | 0 |
| 180 | 0 | Leadership | Full Time | 43 | 3.66 | 3.85 | 8 | 1 |
| 181 | 0 | Leadership | Full Time | 34 | 3.96 | 4 | 10 | 1 |
| 182 | 0 | Leadership | Full Time | 54 | 3.75 | 3.85 | 8 | 1 |
| 183 | 0 | Leadership | Full Time | 36 | 3.83 | 3.85 | 8 | 1 |
| 184 | 0 | Leadership | Full Time | 45 | 3.22 | 3.2 | 6 | 1 |
| 185 | 0 | Leadership | Unemployed | 28 | 3.36 | 3.35 | 6 | 0 |
| 186 | 0 | Leadership | Full Time | 37 | 3.21 | 3.25 | 6 | 1 |
| 187 | 0 | Leadership | Full Time | 27 | 3.02 | 3.15 | 5 | 1 |
| 188 | 0 | Leadership | Full Time | 31 | 3.99 | 4 | 10 | 1 |
| 189 | 0 | Leadership | Unemployed | 45 | 3.07 | 3.15 | 6 | 0 |
| 190 | 0 | Leadership | Full Time | 48 | 3.65 | 3.65 | 7 | 1 |
| 191 | 0 | Leadership | Full Time | 50 | 3.67 | 3.85 | 8 | 1 |
| 192 | 0 | Leadership | Full Time | 32 | 3.06 | 3.35 | 6 | 1 |
| 193 | 0 | Leadership | Unemployed | 33 | 3.98 | 3.7 | 8 | 0 |
| 194 | 0 | Leadership | Full Time | 49 | 3.93 | 4 | 10 | 1 |
| 195 | 0 | Leadership | Unemployed | 27 | 3.41 | 3.3 | 6 | 0 |
| 196 | 0 | Leadership | Part Time | 28 | 3.43 | 3.5 | 7 | 0 |
| 197 | 0 | Leadership | Full Time | 36 | 3.7 | 3.65 | 7 | 1 |
| 198 | 0 | Leadership | Full Time | 35 | 3.76 | 3.75 | 8 | 1 |
| 199 | 0 | Leadership | Part Time | 47 | 3.9 | 3.9 | 8 | 0 |
| 200 | 0 | Leadership | Full Time | 33 | 3.23 | 3.3 | 6 | 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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