Question

the error of rejecting a true null hypothesis is _____. a. a type ii error b. committed when not enough information is available c. a type i error d. committed when the sample size is too small

Answer 1

The error of rejecting a true null hypothesis is a type I error. This error occurs when we mistakenly conclude that there is a significant difference or relationship between variables when, in fact, there is none.

Step-by-step explanation:

The error of rejecting a true null hypothesis is known as a type I error. This error occurs when we mistakenly conclude that there is a significant difference or relationship between variables when, in fact, there is none. It is also referred to as a 'false positive' error. In the context of hypothesis testing, the significance level, denoted by α, represents the probability of committing a type I error.