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