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) 1. Compute the descriptive statistics for the weekly hours spent studying. Describe your findings.
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) 1. Compute the descriptive statistics for the weekly hours spent studying. Describe your findings.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
| 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) |
1. Compute the
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