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.
Toto cvičení je součástí kurzu
Foundations of Inference in R
Pokyny k cvičení
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)
Interaktivní cvičení na vyzkoušení si v praxi
Vyzkoušejte si toto cvičení dokončením tohoto ukázkového kódu.
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 = ___
)