A human resources manager in the IT sector was concerned about unconscious bias in recruitment panels. There were two posts and seven candidates, four men and three women. Theoretically, all the candidates have an equal probability of being hired as they all match the selection criteria. However, the manager has data that suggests that it is more likely men will be hired based on data from across the IT sector and within her own company. However, the manager has implemented many equality initiatives within her company and therefore wants to determine the probability that still no women will be hired. What formula could she use to determine this probability and assess the impact of unconscious bias in her company's recruitment?
A)Bayes' theorem.
B)NHST
C)Pearson's r
D)Cronbach's Alpha

Question

Quizplus · Accepted Answer

Bayes' theorem is a statistical formula that can be used to calculate the conditional probability of an event, given prior knowledge of related events. In this case, the HR manager can use Bayes' theorem to calculate the probability of no women being hired, given the historical data and potential unconscious bias. This formula can help with assessing the impact of bias in recruitment and determining the effectiveness of any interventions or initiatives implemented to promote equality. NHST, Pearson's r, and Cronbach's Alpha are not relevant in this scenario.

A Human Resources Manager in the IT Sector Was Concerned