What types of staffing activities (recruitment, selection, employment) might be causing the statistical differences? For example, in Exhibit 2.3 the selection rate for men is 50% and for women is 11%. How would the organization collect the data necessary to compute these selection rates, how would you decide if the difference in selection rates (50% vs. 11%) is big enough to indicate possible discrimination, and what sorts of practices might be causing the difference in selection rates?