Understanding the Independent T-Test

Which of the following is NOT a variant of the t-test?

• Paired t-test

• Dependent t-test

• Independent t-test

• Simple t-test

What is the primary use of the independent t-test?

• To compare a group against the population

• To compare two independent samples

• To compare two dependent samples

• To assess the quality of a product

How are independent samples characterized?

• They involve repeated measures on the same individuals

• They are made up of unrelated individuals

• They consist of related measurements

• They are always normally distributed

What does the null hypothesis in an independent t-test state?

• There is a difference between two groups

• There is no difference between two groups

• The groups are independent

• The groups are dependent

What is a directed hypothesis?

• It assumes no difference between groups

• It is used only for dependent samples

• It specifies the direction of the difference

• It states there is a difference without specifying direction

Which of the following is NOT a requirement for the independent t-test?

• Samples must have more than two groups

• Samples must be independent

• Variables must be interval scaled

• Data must be normally distributed

Why must the variance within groups be similar for an independent t-test?

• To compare dependent samples

• To avoid using the Levine test

• To allow for more than two groups

• To ensure the test statistic is accurate

What does the Levine test check for?

• Interval scaling of variables

• Independence of samples

• Equality of variances

• Normal distribution of data

How can you calculate the t-test for independent samples online?

• Using a calculator

• Using Data Tab

• Using a spreadsheet

• Using a text editor

What is the significance of the p-value in the context of the t-test?

• It helps decide whether to reject the null hypothesis

• It determines the sample size

• It measures the interval scale of variables

• It indicates the direction of the hypothesis