- Definitions
- Notes
- Generating Random Numbers on the TI-82
- Sampling Lab designed to expose the student to each of the five types of sampling

- Definitions
- Creating Grouped Frequency Distributions
- Introduction to Statistics and Lists on the TI-82
- Creating Histograms, Box Plots, and Grouped Frequency Distributions on the TI-82
- Creating an Ogive on the TI-82
- Creating Pie Charts on the TI-82 using the PIE program

- Definitions
- Probability Distributions
- Binomial Probabilities
- Other Distributions: Multinomial, Poisson, HyperGeometric

- Definitions
- Introduction to Normal Probabilities
- Table - Standard Normal Probabilities
- Central Limit Theorem
- Approximating the Binomial with the Normal

- Definitions
- Introduction to Estimation
- Estimating the Population Mean
- Table - Student's T Probabilities
- Estimating the Population Proportion
- Sample Size Determination

- Definitions
- Introduction to Hypothesis Testing
- Determining the type of test
- Using confidence intervals to do hypothesis testing
- Steps to Hypothesis Testing
- Testing of Means
- Hypothesis test example: Does pi = 3.2?
- Testing of Proportions
- P-values

- Definitions
- Dependent Samples - The Mean of the Difference
- Independent Samples - The Difference of the Means
- Two Proportions

- Definitions
- Scatter Plots and Regression Lines on the TI-82
- Correlation
- Regression
- Correlation and Regression on the TI-82
- Coefficient of Determination

- Definitions
- Introduction to the chi-square distribution
- Testing a single population variance
- Chi-square goodness-of-fit test
- Chi-square goodness-of-fit tests on the TI-82
- Chi-square test for independence
- Contingency tables on the TI-82

- Definitions
- F distribution and F-test
- One-Way Analysis of Variance
- One-Way Analysis of Variance on the TI-82
- Scheffe' and Tukey Tests
- Two-Way Analysis of Variance

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Send comments to: james@richland.edu