Hypothesis Testing for proportions

Front

What is the null hypothesis (H0) in hypothesis testing?

Back

The null hypothesis (H0) is a statement that there is no effect or no difference, and it serves as the default assumption that is tested against an alternative hypothesis.

Front

What is the alternative hypothesis (H1) in hypothesis testing?

Back

The alternative hypothesis (H1) is a statement that indicates the presence of an effect or a difference, and it is what the researcher aims to support.

Front

What does a two-tailed test in hypothesis testing indicate?

Back

A two-tailed test is used when the alternative hypothesis states that the parameter is not equal to the null hypothesis value, allowing for the possibility of an effect in both directions.

Front

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

Back

The significance level (α) is the probability of rejecting the null hypothesis when it is actually true, commonly set at 0.05.

Front

What does it mean to reject the null hypothesis?

Back

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

Front

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

Back

Failing to reject the null hypothesis means that there is not enough evidence to support the alternative hypothesis.

Front

What is a p-value in hypothesis testing?

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 decision should be made if the p-value is less than the significance level (α)?

Back

If the p-value is less than α, the null hypothesis should be rejected.

Front

What is the formula for calculating the test statistic for proportions?

Back

Front

What is the critical value in hypothesis testing?

Back

The critical value is the threshold that determines whether to reject the null hypothesis, based on the significance level and the type of test.