## 1. What is the difference between Type I and Type II errors?

Type I error is a false positive; when we reject “a true null hypothesis”.

Type II error is a false negative; when we fail to reject “a false null hypothesis”.

## 2. Are expected value and mean value different?

The concept behind the two is the same, however, they are used in different contexts. The **expected value** is used…