A "false positive," in which an effect is detected when, in reality, there is none, is an example of__________.

a. the power of the test.
b. None of the answer options are correct.
c. a Type II error.
d. a Type I error.

Respuesta :

Answer:

c. a Type II error.

Explanation:

  • A type two error is a statics term that refers to as a non rejection of a false claim that is the null hypothesis and is used within the context of the hypothesis testing.
  • Is used to produce a false positive and is false but errors to fail as be rejected and it occurs when a  null hypothesis is actually false but was accepted as true during the testing.

If a "false positive in an effect is detected, whereas, in reality, there is none, it is an example of Type II ERROR.

Type II error refers to a statistical term that entails an error made when there is non rejection of a false claim.

In other word, the error refers to when we did not reject the null hypothesis when it's actually false.

Type II error occurs when the null hypothesis is actually false but was accepted as true during the testing.

Therefore, the Option C is correct.

Read more about this here

brainly.com/question/3310594