Type 1 and Type 2 errors

Front

What is a Type I error?

Back

Rejecting a true null hypothesis.

Front

What is a Type II error?

Back

Failing to reject a false null hypothesis.

Front

What is the Power of a test?

Back

The probability that we correctly reject a false null.

Front

What is a null hypothesis (H0)?

Back

A statement that there is no effect or no difference, and it is the hypothesis that the test aims to reject.

Front

What is an alternative hypothesis (H1)?

Back

A statement that indicates the presence of an effect or a difference.

Front

What is the significance level (alpha)?

Back

The probability of making a Type I error, commonly set at 0.05.

Front

What does it mean to reject the null hypothesis?

Back

It means that the evidence suggests that the null hypothesis is not true.

Front

What does it mean to fail to reject the null hypothesis?

Back

It means that there is not enough evidence to conclude that the null hypothesis is false.

Front

What is a one-tailed test?

Back

A hypothesis test that determines if there is a significant effect in one direction.

Front

What is a two-tailed test?

Back

A hypothesis test that determines if there is a significant effect in both directions.