# Web Activities

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

## Activity 1:

Identifying hypotheses and understanding the newly introduced independent samples t test

Your book discussed the hypothesis for an independent samples t test. In this activity, you will apply this information.

1. Under what conditions would you use an independent samples t test?
2. Go to this website: http://www.newsindata.com/home/2017/1/6/drug-overdose-deaths
1. Create an independent samples t test hypothesis using the drugs in the graph (as marijuana has 0 for values it is not being analyzed here) in the group.
3. What makes a dependent samples t test different from a one-sample t test?
4. In what way are these tests similar?

Activity 2:

Understanding Homogeneity of Variance

Your book discussed homogeneity of variance. In this exercise, you will practice applying this concept to a collection of data.

1. What kind of t test would you use to analyze the data? How do you know?
2. Generate the hypothesis for this t test using the variables named in the graph.
3. Scroll down to the chart that shows distribution of sleep. What do you think about the homogeneity of variance of the two distributions? Would it meet or violate the assumption?
1. If it were violated and the data were in SPSS, what would you do to account for the violation?

Activity 3:

Understanding conceptual differences between t tests: Three choices

So far your book has discussed three types of t tests: one sample and dependent samples. In this activity, you will practice identifying types of t tests.

First, in words, what is the hypothesis for a:

1. one-sample t test,
2. dependent samples t test, and
3. independent samples t test.

Instructions: Go to each of the following links. For each graph shown, identify what type of t test would be used to analyze the hypothesis and write the hypothesis in words.

*Assume we are just interested in Japan.