You should be able to do any of the following:
- Understand the use of treatment and control groups
- Identify design problems with a double-blind methodology in a given experimental scenario
- Identify the most appropriate experimental design and analysis for a given situation
- Identify a percentile rank from a frequency table of data
- Provide and/or interpret the information contained in a box and whisker plot
- Determine a percentile value through normal approximation using a reported average and SD
- Interpret information contained in a two-variable scatter plot
- Use a regression line analysis to find a predicted value with error measure
- Discuss how a residual plot can be used to 'detect' [non-]linear association
- Compute probabilities using the 'Not,' 'Addition' and 'Multiplication' Rules as well as the Binomial Formula
- Create and interpret a confidence interval in context
- Decide on an appropriate test of significance methodology for a given scenario
- Perform an appropriate test of significance for a given scenario
- Interpret a P-value in the context of a test of significance
- Discuss / critique the appropriateness of a particular test of significance in context
- Identify conditions under which the power of a test of significance would be greatest
- Discuss the difference(s) between a t-curve and the normal curve