1. Probability & Statistics Notes
2. Histograms - How Many Intervals?
3. Probability Outline
4. Common Probability Models
5. Binomial, Poisson, Normal Distribution Notes
6. Probability Distributions
7. Continuous Distributions / Moments
8. Excel - Descriptive/Distributions/Matrix Functions
9. Probability Distributions using Excel
10. Correcting the estimates of standard deviation & variance
11. Distributions Related to the Normal
12. Gamma and Beta Function
13. Sample Distributions
14. Theorems of Probability
15. Population vs. Samples
16. Estimation
17. Convolution of Dependent Variables, Confidence Interval of p
18. Hypothesis Testing
19. Power Test Example
20. Unknown but Unequal Variances
21. Regression/Correlation
22. Linear Regression Example
23. Multiple Regression Example
24. Multiple Regression - Excel File
25. Bivariate Distributions
26. Bivariate Distribution Examples
27. Multivariate Normal Distribution
28. Functions of a Random Variable & Moment Generating Functions
29. Karl Pearson's Family of Distributions
30. Johnson's Family of Distributions
31. Excel - Statistical Mistakes
32. Analysis of Variance notes
33. Text example of ANOVA and Kruskal-Wallis
34. ANOVA Homework
35. ANOVA: Excel File
36. Test of Proportions and Goodness of Fit
37. Testing for Normality
38. Spreadsheets - Probability & Statistics
39. Non-Parametric Tests
40. Statistical Tables - Brase & Brase - Understandable Statistics

1. 8^th Edition Homework - Part I
2. 8^th Edition Homework - Part II
3. 8^th Edition Homework - Part III

Homework - Walpole

   Math 423 - Course Outline

1. Chapter 1
2. Chapter 2
3. Chapter 3
4. Chapter 4
5. Chapter 5
6. Chapter 6
7. Chapter 8
8. Chapter 9
9. Chapter 10

   Math 424

1. Chapter 11
2. Chapter 12
3. Chapter 3.4
4. Chapter 7

Animations

1. Power Function Animation of the Normal Mean Test
2. Convolution - Sample Distribution 640 x 480 480 x 360

Excel

1. Discrete & Continuous Distributions using scroll bar
2. Data - normality tests on LDH (lactate dehydrogenase)
3. Data - Framingham Heart Study (cholesterol)

JavaScript

1. Discrete Simulation
2. Random Number Generation
3. Statistical Testing for Randomness
4. Convolution - Sum of Identically Distributed R.V.'s
5. Convolution - Sum of any 2 Random variables