# Web Activities

Click on the following links. Please note these will open in a new window.

## Activity 1:

Correlations: categorical versus continuous

Your book discusses the conditions under which you would perform a Pearson product moment correlation and a . In this activity, you will apply that understanding.

1. Read the relevant xkcd: https://xkcd.com/552/
2. What are the variables and levels?
3. What are your test options for examining relations between two variables?
4. As the comic discusses the variables, what is the correct option for examining a relation between variables?
5. How would you change the variables (identify a specific measurement for each) into interval level variables?

Activity 2:

Creating hypotheses for Your book discussed the hypotheses for a with two categorical variables. In this activity, you will apply that information.

1. Go to the following website: http://flowingdata.com/2016/08/09/household-types-then-and-now/
2. What are the two variables?
3. What level of measurement is each variable?
4. Is the level of data appropriate for a ?

Activity 3:

Understanding differences between , Pearson product moment correlation, and two-way ANOVA

Your book discussed the conditions under which you would use a , a Pearson product moment correlation, and a two-way ANOVA. In this activity, you will apply this information.

1. What are the variable requirements (how many and at what level of measurement) for:
1. ,
2. Pearson product moment correlation, and
3. two-way ANOVA.
2. Go to the following website: http://www.newsindata.com/college-athlete-drug-use-by-sport
3. As the data are presented, what test would be appropriate?
4. How would you have to change the study to conduct a Pearson product moment correlation? Provide a specific way to measure the variables in units. If you are having a difficult time answering this question, you might want to focus on just one variable level for each variable (i.e., marijuana and hockey).
5. How would you change the study to conduct a two-way ANOVA? Provide a specific way to measure the variable in units. If you are having difficulty answering this question, do not forget that ANOVA contains a DV measured continuously.