I.   Overview of the Course and the Role of Statistics in Research
II.  Measurement
      a.  What is a good measure?
      b.  Levels of measurement
III.  Organizing Data in Tables and Graphs
IV.  Central Tendency and VariabilityV. Distributions and Probability
VI. Hypothesis Testing
      a.  one sample z-test
      b.  confidence intervals
VII. Effect Size and Statistical Power
VIII.  Drawing Inferences about Populations from Sample Data
IX .  Drawing conclusions from a single sample
      a.  one sample t-test
      b.  confidence intervals
X .  Comparing groups to see if they are different
      a.  Principles of hypothesis testing
      b.  Independent Groups t-test  (between subject designs)
      c.  Correlated Groups t-test (within subjects designs)
XI.  Comparison of Groups continued
      a.  Oneway Analysis of Variance
      b.  Discussion of statistical power and strategies for selecting
            sample size.
      c.  Analytical tests - planned comparions, Scheffe, and Tukey tests
XII.    Factorial ANOVA
      a.  main vs simple effects
      b.  interactions
XIII.  Correlation
XIV.  Regression and Prediction

XV. Nonparametric Tests
XVI General Linear Model and Advanced Methods