Type I and Type II Errors. In Exercises 29–32, provide statements that identify the type I error and the type II error that correspond to the given claim. (Although conclusions are usually expressed in verbal form, the answers here can be expressed with statements that include symbolic expressions such as p = 0.1.).

The proportion of people who write with their left hand is equal to 0.1.

It is claimed that the proportion of people who write with their left hand is equal to 0.1.

Let p be the population proportion of people who write with their left hand.

The hypotheses for the stated claim are as follows.

Null hypothesis $H_0:p=0.1$

Alternative hypothesis$H_A:p\ne 0.1$

The two types of errors made while conducting hypotheses tests are defined below.

Type I error: Rejecting the null hypothesis when the null hypothesis is true is a type I error and is denoted by $\alpha$.

Type II error: Failing to reject the null hypothesis when the null hypothesis is false is a type II error and is denoted by $\beta$.

In accordance with the given claim, the following statements define the type I error and the type II error:

Type I error: When the actual value of the proportion is equal to 0.1, and the researcher rejects the claim $p=0.1$, a type I error is made.

Type II error: When the actual value of the proportion is not equal to 0.1, and the researcher fails to reject the claim $p=0.1$, a type II error is made.