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# MBA

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1. Why do companies hire people with MBA degrees with high salaries?
2. Would you please briefly suggest what are important math/statistics topics that you think to include in such courses?

3. Every manager can do simple math calculations (adding and subtracting numbers). So, managers can see what is the earning of the company and accordingly, s/he can do future budget of the company. Why do you think that managers need to have knowledge on math and statistics? Moreover, every manager has his/her assistance that can do all the math calculations for his manager. Please tell us why you think math/statistics training is an important for every manager.

#### Solution Preview

1. Why do companies hire people with MBA degrees with high salaries?

Companies hire MBA degrees with high salaries because they want someone who is qualified and well educated. More and more executives are getting their MBA or hiring those that do because these individuals have studied in depth how to run a business versus those who have not done graduate work. This is quite significant because jobs are demanding higher education degrees. As a result, those with a graduate degree are making more money than those who have undergraduate level work. Eventually, this trend will continue and employers will struggle to find competent workers ...

#### Solution Summary

This solution discussed wha one can do with an MBA degree as well as what managers needs to know for statistics.

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## Business statistics: Analyze characteristics of MBA students

See attached data file.

COMPLETE PROBLEM 1: Perform a categorical data analysis on the majors of students enrolled in the MBA program. Report on your findings, along with a table showing the frequency distribution and at least one chart (pie chart or bar chart) that illustrates the points raised in your report.

COMPLETE PROBLEM 2: Compute the descriptive statistics for the MBA GPAs of the students. Then, 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. Report on your findings along with a table covering the descriptive statistics that are important and at least one chart that illustrates the points raised in your report.

COMPLETE PROBLEM 3: Compute the descriptive statistics for the weekly hours spent studying. Create a frequency distribution & histogram of the hours spent studying. Use ranges of 0-2, 2-4, 4-6, 6-8, 8-10, and 10-12. Report on your findings along with a table covering the descriptive statistics that are important and at least one chart that illustrates the points raised in your report.

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