Question

# Historically, the MBA program at Whatsamattu U. has about 40% of their students choose a Leadership...

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.

 This tests the null hypothesis that the distribution is as expected. In other words, it tests if the results fit the expected distribution. Rejecting the null implies that the results do not fit the distribution.

STep 1: First bring the data in to excel sheet and create a pivot table to align the data for chisquare table

STep 2: update chi square table

Step 3: create sub total and grant total in both rows and column of the data in the chi square table.

step 4: calculate beside observed freq - expected frequencies by each row and column

Step6: Prepare expected frequencies

formula is (row total * column total)/grant total

Step 7: PRepare

 (fo - fe)^2/fe

STep 8: Full view chi-square table

STep 9: after that prepare degree of freedom and results

Conclusion: As per the P value (reject the null hypothesis) current distribution do not fits the historical pattern

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