Learn Without Walls

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Pre-Assessment

Test your baseline knowledge of comparing two populations

About This Pre-Assessment

This short assessment measures what you already know about two-sample hypothesis testing before you start the module. Don't worry if you don't know the answers—that's expected!

5 questions covering key concepts from Module 9
Not graded - This is just for measuring your learning gains
~5 minutes to complete
You'll retake the same assessment after completing the module

1Which scenario requires a paired (dependent) samples test?

Comparing average heights of men vs. women
Comparing blood pressure before and after medication in the same patients
Comparing test scores of students from two different schools
Comparing salaries in two different cities

2In a two-sample t-test for independent samples, what does the null hypothesis typically state?

The two population means are different
The two population means are equal
One population mean is greater than the other
The sample means are equal

3When conducting a two-proportion z-test, what is the pooled proportion used for?

To estimate the common proportion under the null hypothesis
To calculate the sample size needed
To find the confidence interval
To determine the degrees of freedom

4A researcher wants to test if a new teaching method improves test scores. She randomly assigns 30 students to the new method and 30 different students to the traditional method. Which test should she use?

Paired t-test
Independent two-sample t-test
One-sample t-test
Two-proportion z-test

5What is the main advantage of using a paired samples design over an independent samples design?

It requires fewer participants
It controls for individual variability, making the test more powerful
It's easier to calculate
It always results in a significant finding

Continue to Lesson 1 →