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.

แบบฝึกหัดนี้เป็นส่วนหนึ่งของหลักสูตร

Foundations of Inference in R

ดูคอร์ส

คำแนะนำการฝึกหัด

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)

แบบฝึกหัดเชิงโต้ตอบแบบลงมือทำ

ลองทำแบบฝึกหัดนี้โดยเติมโค้ดตัวอย่างนี้ให้สมบูรณ์

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 = ___
  )

แก้ไขและรันโค้ด