Tentative Outline of Lecture Topics for the May 2015 Session

1. Introduction
2. Data Description:
   • Levels of Measurement
   • Data Types
   • Plotting Distributions
   • Measures of Central Tendency
   • Measures of Dispersion
3. Sampling
   • Samples
   • Populations
   • Standard Error
   • Precision and Bias
4. Hypothesis Testing
   • Hypothesis Formation
   • Significance
   • Errors
   • Other approaches to Statistics
5. Goodness of Fit Tests
6. Contingency Testing
7. Probability
8. Binomial Distribution
9. Normal Distribution
   • Standard Normal
   • Departures from Normality
   • Approximating other Distributions
10. One Sample Inference
    • One Sample t Tests
    • Confidence Intervals
11. Paired Sample Inference
    • Paired t Tests
    • Sign Test
    • Wilcoxon Test
    • Design Questions and Power
12. Two Sample Inference
    • 2 sample t Tests
    • Mann Whitney U test
13. Multisample Inference
    • ANalysis Of VAriance (ANOVA)
    • Kruskal-Wallis test
    • Multiple Comparisons
    • a posteriori and a priori approaches
    • Bonneferroni adjustments
14. Data Transformations
15. Linear Regression and Correlation
16. Extra Topics (as time allows)

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