student data.docx

student data.docx - 1 Problem 1 Historically the MBA...

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Problem 1 Historically, the MBA program at Whatsamattu U. has about 40% of their students choose a Leadership major, 30% choose a Finance major, 20% choose a Marketing major, 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. There are two sorts of chi-square tests. Both utilize the chi-square measurement and appropriation for various purposes: A chi-square decency of fit test decides whether a specimen information coordinates a populace. A chi-square test for autonomy thinks about two factors in a possibility table to check whether they are connected. In a more broad sense, it tests to see whether circulations of all out factors contrast from each another (Glen, 2014). We will direct a Chi-Square Goodness of Fit test to decide whether the present dissemination fits the historical example for the MBA program at Whatsamattu U. When you need to know whether the dispersion of what we have been given fits with what we expected then you will utilize the Chi- Square Goodness of Fit test (Mirabella, 2011). Verifiably the program expresses that 40% of 1

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understudies picked Leadership, 30% picked Finance as a major, 20% picked Marketing, and 10% of the understudies did not pick a major. When we utilize the Chi-Square Goodness of Fit
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• Summer '17
• momanyi
• Statistics, Chi-Square Test, Null hypothesis, Chi-square distribution, Pearson's chi-square test, Understudies, Whatsamattu U.

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