8.5 practice - hypothesis testing proportions

Front

What is a P-value in hypothesis testing?

Back

The probability of obtaining the results (or one more extreme) if the null hypothesis is true.

Front

What does it mean to reject the null hypothesis?

Back

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

Front

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

Back

It means that there is not enough evidence to support the alternative hypothesis.

Front

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

Back

The threshold for determining whether to reject the null hypothesis, commonly set at 0.05 or 0.01.

Front

If the P-value is less than α, what should you do?

Back

Reject the null hypothesis.

Front

If the P-value is greater than α, what should you do?

Back

Fail to reject the null hypothesis.

Front

What is a Type I error?

Back

Rejecting the null hypothesis when it is actually true.

Front

What is a Type II error?

Back

Failing to reject the null hypothesis when the alternative hypothesis is true.

Front

In a hypothesis test, what does the null hypothesis represent?

Back

The default assumption that there is no effect or no difference.

Front

In a hypothesis test, what does the alternative hypothesis represent?

Back

The assumption that there is an effect or a difference.