






Review Points for Final Exam
You should know:
- You should know about the advantages and disadvantages of the experimental and quasi-experimental methods discussed in class, including being able to critique the validity of an argument.
- How to convert from any of the equations presented in class (or that you should be able to figure out from the equations given in class) to equivalent Python code.
- You should know when to use a t-test, an ANOVA, and a correlation.
- You should know how to test for the significance of a correlation.
- Given a set of data, you should be able to compute the average, the variance, and the standard deviation.
- Given two sets of data, you should be able to compute the correlation between those two data sets, an ANOVA or a t-test comparing those two sets of data.
- Given a set of quantitative results from an ANOVA, a t-test, or a correlation, you should be able to explain what those results mean.
You are not going to be asked to write code manipulating CSV files on the test.