Chapt 9 and 10 Hypothesis Testing

Front

What is the null hypothesis (H0)?

Back

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

Front

What is the alternative hypothesis (Ha)?

Back

The alternative hypothesis (Ha) is a statement that indicates the presence of an effect or a difference, opposing the null hypothesis.

Front

What does a p-value represent in hypothesis testing?

Back

A p-value represents 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 'fail to reject H0'?

Back

Failing to reject H0 means that there is not enough evidence to support the alternative hypothesis, and the null hypothesis remains plausible.

Front

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

Back

The significance level (alpha) is the threshold for determining whether to reject the null hypothesis, commonly set at 0.05.

Front

What is a Type I error?

Back

A Type I error occurs when the null hypothesis is incorrectly rejected when it is actually true.

Front

What is a Type II error?

Back

A Type II error occurs when the null hypothesis is not rejected when it is actually false.

Front

How do you determine the test statistic in hypothesis testing?

Back

The test statistic is calculated based on the sample data and the null hypothesis, and it measures how far the sample statistic is from the null hypothesis.

Front

What is the first step in conducting a hypothesis test?

Back

The first step is to state the null and alternative hypotheses.

Front

What is the purpose of checking assumptions and conditions in hypothesis testing?

Back

Checking assumptions and conditions ensures that the statistical test is valid and that the results will be reliable.