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.
Bu egzersiz
Foundations of Inference in R
kursunun bir parçasıdırEgzersiz talimatları
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)
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
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 = ___
)