Summary of gender discrimination

Foundations of Inference in R

Jo Hardin

Instructor

Significance

ch2_5_v3.002.png

disc_perm %>%
  summarize(pvalue = 
      mean(diff_orig <= stat))

# A tibble: 1 × 1
  pvalue
   <dbl>
1   0.03

< 0.05, so reject $H_0$ in favor of $H_A$

Foundations of Inference in R

Causation

  • Study was randomized

  • Nothing systematically different about two groups of participants other than which resumes they evaluated

  • Any difference in promotion rates is due to the gender of the applicant

Foundations of Inference in R

Random sample

  • 35 individuals in sample were not randomly sampled from all managers

  • They were at a management training session

  • In order to generalize, we need:

    • More information about the study

    • Careful thinking about who the participants represent

Foundations of Inference in R

Let's practice!

Foundations of Inference in R

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