Hypothesis Testing for Proportions in One Sample

Front

What does it mean when a test is statistically significant?

Back

The test statistic had a P-value lower than the alpha level, allowing us to reject the null.

Front

What is a Type I Error?

Back

A Type I Error is when we reject the null hypothesis when it is actually true.

Front

What do we do when the p-value is greater than alpha?

Back

We fail to reject the null hypothesis.

Front

What is the probability of a Type I Error?

Back

The probability of a Type I Error is equal to alpha.

Front

What is a Type II Error?

Back

A Type II Error is when we don't reject the null hypothesis when it is actually false.

Front

What is the null hypothesis (H0)?

Back

The null hypothesis is a statement that there is no effect or no difference, and it is the hypothesis that researchers aim to test.

Front

What is the alternative hypothesis (Ha)?

Back

The alternative hypothesis is a statement that there is an effect or a difference, and it is what researchers hope to support.

Front

What does the alpha level represent in hypothesis testing?

Back

The alpha level represents the threshold for statistical significance, typically set at 0.05.

Front

What is a p-value?

Back

A p-value is the probability of obtaining test results at least as extreme as the observed results, assuming that the null hypothesis is true.

Front

What does it mean to reject the null hypothesis?

Back

To reject the null hypothesis means that the evidence suggests that the null hypothesis is not true.