Differences and associations

Written by:

Sydney Ross

For this part, you are able to test your skills and knowledge on differences and associations. Below is a quiz with various question on different ways to compare groups, test differences between groups, and explore associations between variables. After completing the quiz, the correct answers will appear. At the bottom of the page are links to the sections referred to in the quiz for more information and further review.

Test your skills

Differences and associations

1 / 10

What description may be appropriate to use when you want to describe the joint distribution of individuals across two categorical variables?

2 / 10

Which measurements are described through a box plot?

3 / 10

If you have two independent groups (e.g. men and women), and you want to see if there is a difference in height between the groups, what test do you perform?

4 / 10

What is the Wilcoxon signed rank test?

5 / 10

You want to investigate the differences in number of days of parental leave between individuals living in three different countries. Which test do you choose?

6 / 10

True or false: A one-way ANOVA only tells you that there are differences in the outcome between the groups, but it does not automatically tell you between which groups.

7 / 10

What does a chi-squared test do?

8 / 10

You have two continuous variables and want to see how they are related by creating a graph. What command in Stata would help you achieve this?

9 / 10

After running a correlation analysis test on two continuous variables to explore the relationship between them, the outcome is -0.6382. How would you describe this correlation?

10 / 10

In order to have a valid result, your data must pass these assumptions for a correlation analysis. Check all that apply.

Your score is

The average score is 70%

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Review of the quiz

Q1 – See more on Descriptives for comparing groups
Q2 – See more on Box plot
Q3 – See more on Compare groups
Q4 – See more on Wilcoxon signed rank test
Q5 – See more on Compare groups
Q6 – See more on One-way ANOVA
Q7 – See more on Chi-square test
Q8 – See more on Scatterplots
Q9 – See more on Correlation analysis
Q10 – See more on Correlation analysis