In: Statistics and Probability
The admission office of famous university has a policy of offering equal opportunity to all applicants without regard to religion, race, color, height, weight, marital status, sexual orientation, age or gender. Here are some data on recent admission to the university’s first-year class:
Gender |
Admitted |
Not admitted |
|
Female |
370 |
130 |
|
Male |
660 |
622 |
|
Perform an appropriate statistical procedure to demonstrate a gender bias in admission.
Answer to the question is as follows. Please let me know in case you've doubts.
We will perform the Chi-Square test of independence
Let's set up the hypothesis first:
Ho: Admission and gender are independent
Ha: Admission and gender are NOT independent
Below is the contingency table below.
It shows: the observed cell totals, (the expected cell totals) and [the chi-square statistic for each cell].
Results | ||||||
admitted | not-admitted | Row Totals | ||||
female | 370 (289.00) [22.70] | 130 (211.00) [31.09] | 500 | |||
male | 660 (741.00) [8.85] | 622 (541.00) [12.13] | 1282 | |||
Column Totals | 1030 | 752 | 1782 (Grand Total) |
The chi-square statistic is 74.777.
The p-value is < .00001.
The result is significant at p < .05.
Answer: It means that "Yes, there is a gender bias in admission"