Suppose we are interested in researching if there was gender discrimination in college graduate applications for U.S. Universities back in the year 1973. We actually have some real data for that year because of the threat of a potential lawsuit against UC Berkeley. Out of the 2681 men that applied 1195 got accepted, compared to 559 out of 1835 for women. 1. Identify the observational units for this data set and classify each variable as either explanatory or response as well as quantitative or categorical. Then comment on what population you would generalize your findings to and why.
Observational Units:
Explanatory Variable: Q or C:
Response Variable: Q or C:
(1)
Observational units for this data set : College graduate
applications for U.S. Universities back in the year
1973
(2)
Explanatory Variable: Gender of the College graduate applications for U.S. Universities back in the year 1973:
It is categorical because it has values: Men & Women
(3)
Response Variable: Acceptance Status of College graduate applications for U.S. Universities back in the year 1973:
It is categorical because it has values: Yes & No
(4)
We would not generalize your findings to any other year or to any other university because there are other confounding variables other than gender affecting Acceptance Status of College graduate applications such as scores scored, academic achievements, additional qualifications etc., which have not been controlled in the experimentation, making the result of the generalization unreliable.
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