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potential solution to p-value discrepancy (tutorial 4.3) #265

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potential solution to p-value discrepancy (tutorial 4.3) #265

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4 changes: 0 additions & 4 deletions 04-foundations/03-lesson/04-03-lesson.Rmd
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Expand Up @@ -435,10 +435,6 @@ The permuted dataset and the original observed statistic are available in your w
- As an alternative way to calculate the p-value, use `summarize()` and `mean()` to find the proportion of times the permuted differences in `opp_perm` (called `stat`) are less than or equal to the observed difference (called `diff_obs`).
- You can test your knowledge by trying out: `direction = "greater"`, `direction = "two_sided"`, and `direction = "less"` before submitting your answer to both `visualize()` and `get_p_value()`.

```{r summarizing_opportunity_cost-setup}
opp_perm <- read_rds("data/opp_perm2.rds")
```

```{r summarizing_opportunity_cost, exercise=TRUE}
# Visualize the statistic
opp_perm |>
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