Critical region
It seems as though the statistic—a difference in promotion rates of 0.2917—is on the extreme end of the permutation distribution. That is, there are very few permuted differences which are as extreme as the observed difference.
To quantify the extreme permuted (null) differences, we use the quantile() function.
The dplyr package has been loaded for you.
Deze oefening maakt deel uit van de cursus
Foundations of Inference in R
Oefeninstructies
Using the permuted differences, disc_perm, find the quantile values of stat such that:
- 10% of the permuted differences are above the value (0.9 quantile)
- 5% of the permuted differences are above the value (0.95 quantile)
- 1% of the permuted differences are above the value (0.99 quantile)
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
disc_perm %>%
summarize(
# Find the 0.9 quantile of diff_perm's stat
q.90 = ___(___, p = ___),
# ... and the 0.95 quantile
q.95 = ___,
# ... and the 0.99 quantile
q.99 = ___
)