Click on the following links. Please note these will open in a new window.
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.
Answer the following questions:
- Under what conditions would you use an independent samples t test?
- Go to this website: http://www.newsindata.com/home/2017/1/6/drug-overdose-deaths
- 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.
- What makes a dependent samples t test different from a one-sample t test?
- In what way are these tests similar?
Understanding Homogeneity of Variance
Your book discussed homogeneity of variance. In this exercise, you will practice applying this concept to a collection of data.
Go to this website: http://www.thedurkweb.com/how-sharing-a-bed-with-my-girlfriend-changed-my-sleep/
- What kind of t test would you use to analyze the data? How do you know?
- Generate the hypothesis for this t test using the variables named in the graph.
- 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?
- If it were violated and the data were in SPSS, what would you do to account for the violation?
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:
- one-sample t test,
- dependent samples t test, and
- 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.