Codecademy Hypothesis Testing With R Type I and Type II Errors 6/14

#Sample Solution
---
title: "Hypothesis Testing in R"
output: html_notebook
---

```{r}
# the true positives and negatives:
actual_positive <- c(2, 5, 6, 7, 8, 10, 18, 21, 24, 25, 29, 30, 32, 33, 38, 39, 42, 44, 45, 47)
actual_negative <- c(1, 3, 4, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20, 22, 23, 26, 27, 28, 31, 34, 35, 36, 37, 40, 41, 43, 46, 48, 49)

# the positives and negatives we determine by running the experiment:
experimental_positive <- c(2, 4, 5, 7, 8, 9, 10, 11, 13, 15, 16, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 32, 35, 36, 38, 39, 40, 45, 46, 49)
experimental_negative <- c(1, 3, 6, 12, 14, 23, 25, 29, 30, 31, 33, 34, 37, 41, 42, 43, 44, 47, 48)
```

```{r}
# define type_i_errors and type_ii_errors here:
type_i_errors = intersect(experimental_positive,actual_negative)
type_i_errors
type_ii_errors =
intersect(experimental_negative,actual_positive)
type_ii_errors
```