Hypothesis Review

Front

What does a P-value less than 0.1 indicate in hypothesis testing?

Back

We have enough evidence to reject the null hypothesis.

Front

Define a Type I error in hypothesis testing.

Back

Rejecting the null hypothesis when it is true.

Front

Define a Type II error in hypothesis testing.

Back

Accepting the null hypothesis when it is false.

Front

What is the purpose of a t-test?

Back

To determine if there is a significant difference between the means of two groups.

Front

What is the null hypothesis (H0)?

Back

A statement that there is no effect or no difference, and it is what we seek to test against.

Front

What is the alternative hypothesis (H1)?

Back

A statement that there is an effect or a difference, opposing the null hypothesis.

Front

What does it mean to reject the null hypothesis?

Back

It means there is sufficient evidence to support the alternative hypothesis.

Front

What is the significance level (α) in hypothesis testing?

Back

The probability of rejecting the null hypothesis when it is true, commonly set at 0.05 or 0.01.

Front

What is a one-tailed test?

Back

A hypothesis test that determines if a parameter is greater than or less than a certain value.

Front

What is a two-tailed test?

Back

A hypothesis test that determines if a parameter is significantly different from a certain value, either greater or less.