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

When does a Type II error occur?

Back

A Type II error occurs when the null hypothesis is false, but we fail to reject it.

Front

What is the power of a statistical test?

Back

The probability of correctly rejecting a false null hypothesis.

Front

How can the power of a test be increased?

Back

By using a larger sample size.

Front

What does the null hypothesis represent?

Back

A statement of no effect or no difference that is tested in a statistical hypothesis test.

Front

What is the significance level (α)?

Back

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

Front

What is the relationship between Type I and Type II errors?

Back

Reducing the probability of one type of error increases the probability of the other.

Front

What is a false positive?

Back

A Type I error, where a true null hypothesis is incorrectly rejected.

Front

What is a false negative?

Back

A Type II error, where a false null hypothesis is incorrectly accepted.