1. Create a pivot table of Gender and Major. Then complete the Joint Probability table so you can answer the following: a) What is the probability of randomly choosing a Female? b) What is the probability of randomly choosing a Male AND Finance major? c) What is the probability of randomly choosing a Female OR Leadership major? ID Gender Major Employ Age MBA_GPA BS GPA Hrs_Studying Works FT 1 1 No Major Unemployed 39
1. Create a pivot table of Gender and Major. Then complete the Joint Probability table so you can answer the following: a) What is the probability of randomly choosing a Female? b) What is the probability of randomly choosing a Male AND Finance major? c) What is the probability of randomly choosing a Female OR Leadership major? ID Gender Major Employ Age MBA_GPA BS GPA Hrs_Studying Works FT 1 1 No Major Unemployed 39
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.
1. Create a pivot table of Gender and Major. Then complete the Joint Probability table so you can answer the following:
a) What is the probability of randomly choosing a Female?
b) What is the probability of randomly choosing a Male AND Finance major?
c) What is the probability of randomly choosing a Female OR Leadership major?
| 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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