STAT I

1. Counting Methods
2. Introduction to Probability
3. Conditional Probabilities
4. Independent Events
5. Mean, Median and Mode
6. Standard Deviation
7. Standard Deviation with the TI-30XIIS
8. Std Dev with the TI-30XS Multiview
9. Standard Deviation with the TI-83 or 84
10. Bar Graphs vs Histograms
11. The Empirical Rule
12. Chebyshev's Rule
13. Discrete vs Continuous
14. Binomial Random Variables
15. Binomial Tables
16. The Poisson Distribution
17. Expected Value and Std Dev of Discrete Random Variables
18. The Normal Distribution
19. Percentiles
20. Sampling Distributions
21. Central Limit Theorem

      INFERENCES BASED ON A SINGLE SAMPLE

1. Confidence Intervals Part I
2. Confidence Intervals Part II
3. Degrees of Freedom
4. Estimating-the-Sample-Size
5. Hypothesis Testing Part I
6. Hypothesis Testing Part II
7. Hypothesis Testing Part III. The t Test
8. P-values with the t Table
9. Confidence Intervals about the Variance

STATS II

      INFERENCES BASED ON TWO SAMPLES

1. Two-Sample Z-Interval
2. Two-Sample Z-Test
3. Two-Sample t-Interval
4. Two-Sample t-Test
5. Two-Proportion Z-Interval
6. Two-Proportion Z-Test
7. Paired-Samples Z-Interval
8. Paired-Samples Z-Test
9. Paired-Samples t-Intervals
10. Paired-Samples t-Test

        ANOVA: COMPARING THE MEANS OF MORE THAN TWO SAMPLES

1. ANOVA Part I
2. ANOVA Part II
3. ANOVA: Randomized Block
4. Two-Way ANOVA. Part I
5. Two-Way-ANOVA. Part II
6. Two-Way-ANOVA. Part III
7. Two-Way-ANOVA. Part IV
8. Two-Way-ANOVA. Part V

SIMPLE LINEAR REGRESSION AND CORRELATION

1. Simple Linear Regression
2. Simple Linear Regression Part II
3. The Coefficient of Correlation
4. The Pearson's Test For Correlation

CATEGORICAL DATA ANALYSIS

1. X2 Goodness of Fit (One-Way Tables)
2. X2 Test for Independence (Two-Way Tables)

NON-PARAMETRIC TESTS

1. The Wilcoxon Rank Sum Test
2. The Wilcoxon Rank Sum Test. Part II
3. The Wilcoxon Signed Rank Test
4. The Kruskal-Wallis Test
5. The Friedman's Test