Upon completion of this module, you should be able to:
Understand the concept of association.
List the difference between association and causation.
Identify the correlation coefficient.
Describe the relation between correlation and simple linear regression.
Use estimated regression models, like growth curves and dose-response curves, to make predictions and be aware of the issue of extrapolation.
Formulate appropriate null and alternative hypotheses for paired-sample t-test and two—sample t-test.
Formulate appropriate null and alternative hypotheses for ANOVA or analysis of variance.