Business Statistics
Unit 5, Business Statistics
In your organization, how could you use Chi-Square testing? (Please note I work at a law firm as a paralegal)
Total bare minimum word count for the initial discussion post is 250 words with a minimum of two peer-reviewed sources from the Bethel University Databases, plus your textbook located in the read section. Further, when conducting outside research limit the search to the past two years.
Please use the following Book Reference as one of the references:
Mirabella, J. (2011) Business Statistics, (Savant Learning Systems) Retrieved from Bethel University, College of Professional Studies: http://betheluniversityonline.net/cps
COMPLETE SECTION:
THE ATTACHED CHARTS ARE REQUIRED FOR THE HOMEWORK TO BE COMPLETE. PLEASE USE THEM AND PASTE THEM IN A WORD DOCUMENT WITH THE APPROPRIATE QUESTION. BE SURE TO USE THE ATTACHED CHARTS TO COMPLETE THIS SECTION……
Use the Student_Data.xls file which consists of 200 MBA students at Whatsamattu U. The file includes variables regarding students’ age, gender, major, GPA, Bachelors GPA, course load, English speaking status, family, weekly hours spent studying. Each of the three assigned problems should be formatted as a one page memo. Answers to all three of the problems should be submitted as a single Word document with each of the problems clearly labeled.
COMPLETE PROBLEM 1: Historically, in the MBA program at Whatsamattu U., about 40% of the students choose a Leadership major, 30% choose Finance, 20% choose Marketing, and 10% choose no major. Does the most recent class of 200 MBA students fit that same pattern or has there been a shift in the choice of majors. Using the sample of 200 students (in the data file), conduct a Chi Square Goodness of Fit test to determine if the current distribution fits the historical pattern. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a bar chart or column chart) comparing the expected vs. the observed frequencies.
COMPLETE PROBLEM 2: While job opportunities for men and women are considerably more balanced than they were 40 years ago, the career aspirations may still differ. Is there a difference in majors chosen by men and women? Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if one’s choice of major is independent of their gender. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a stacked column chart works well) comparing the expected vs. the observed frequencies.
COMPLETE PROBLEM 3: You wonder if there is a relationship between students’ employment status and their choice of major. Do unemployed students choose majors that have the greatest employment potential? Do fully employed students choose the ‘easiest’ major? Using the sample of 200 MBA students (in the data file), conduct a Chi Square Test of Independence to determine if one’s choice of major is independent of their employment status. Use a .05 significance level. Report on your findings (100+ words, 3 or more sentences). In your report, be sure to include the tables with the results of the Chi-square test as well as a chart (a stacked column chart works well) comparing the expected vs. the observed frequencies.
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