Use the preparation materials to prepare hand-written answers for the following questions. Please ask any questions on the "Questions -- Preparation Guide" on the course Team (see link on the homepage.)
- What type of response variable is used in a 2-sample t-test?
- What type of explanatory variable is used in a 2-sample t-test?
- What are the null and alternative hypotheses in a 2-sample t-test?
- What are the three assumptions of a 2-sample t-test?
- What test is used to test that population variances are equal?
- What is the formula for the combined sample variance (across both groups)?
- What is the statistic for a 2-sample t-test?
- What is the test statistic (i.e., the formula) for a 2-sample t-test?
- What are the degrees-of-freedom for that test statistic?
- Describe in words what the numerator in the test statistic represents.
- Describe in words what the denominator in the test statistic represents.
- What do you conclude if the p-value<α in a 2-sample t-test?
- What do you conclude if the p-value<α in a Levene’s test?
- In the signal-to-noise metaphor, what would a plot with low “signal” and low “noise” look like?
- In the signal-to-noise metaphor, what would a plot with high “signal” and low “noise” look like?
- What do you expect for the p-value of a 2-sample t-test to be if the signal-to-noise ratio is very small (i.e., much more noise than signal)?
- [Optional] What questions do you have from this reading that you would like me to address? [Please be as specific as possible. Don't just say "everything" or "I don't understand anything." Of course, you can ask me questions about the reading before class on MS Teams.]