An auditor is checking the last five years of scholarship awards in a university's music department after a claim of bias based on gender of the recipient. She used a significance level of 0.05 for the analysis. Gender → Female Male Total Received Scholarship 40 48 88 Didn't Recieve Scholarship 73 27 100 Total 113 75 188 Test Results: Test Statistic: X = 14.81 and P – value: p = 0.0001. Use the contingency table and chi-square test results provided above to pick the answer that is the best analysis of the data. O A. Since the P - value is less than 0.05, she should conclude that scholarships rewarded do seem to be independent on the gender of the potential recipient. Therefore, females and males seem to get about the same proportion (percentage) of scholarships as seen when we examine the table. O B. Since the P- value is less than 0.05, she should conclude that scholarships rewarded do seem to be dependent on the gender of the potential recipient. Specifically, females seem to get a significantly higher proportion (percentage) of the scholarships as seen when we examine the table. O C. Since the P- value is less than 0.05, she should conclude that scholarships rewarded do seem to be independent of the gender of the potential recipient. Specifically, females seem to get a significantly higher proportion (percentage) of the scholarships as seen when we examine the table. O D. Since the P - value is less than 0.05, she should conclude that scholarships rewarded do seem to be dependent on the gender of the potential recipient. Specifically, males seem to get a significantly higher proportion (percentage) of the scholarships as seen when we examine the table.

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