Two-sided critical region
For the discrimination data, the question at hand is whether or not women were promoted less often than men. However, there are often scenarios where the research question centers around a difference without directionality.
For example, you might be interested in whether the rate of promotion for men and women is different. In that case, a difference in proportions of -0.29 is just as "extreme" as a difference of positive 0.29.
If you had seen that women were promoted more often, what would the other side of the distribution of permuted differences look like? That is, what are the smallest (negative) values of the distribution of permuted differences?
Este exercício faz parte do curso
Foundations of Inference in R
Instruções do exercício
Using the permuted differences, disc_perm, find the quantile values such that:
- 1% of the permuted differences are below the value (0.01 quantile)
- 5% of the permuted differences are below the value (0.05 quantile)
- 10% of the permuted differences are below the value (0.1 quantile)
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Use disc_perm
___ %>%
# ... to calculate summary stats
___(
# Find the 0.01 quantile of stat
q.01 = ___,
# ... and 0.05
q.05 = ___,
# ... and 0.1
q.10 = ___
)