Java Applets

These applets can be saved to jpeg (monochrome or color). Some of the applets have a menu item Jpeg with subitems Color and Monochrome for this purpose. Other applets have menu item Window with sub items Save as Color Jpeg and Save as Monochrome Jpeg. All applets will eventually be converted to the latter menu structure.

Many of these applets were developed under grants from H. Joseph Newton, Dean of the College of Science, Texas A&M University, Summer 2001.

1. Visualizing Distributions
1. Normal distribution (continuous)
2. Student's t distribution (continuous)
3. Chi-Squared distribution (continuous)
4. F distribution (continuous)
5. Beta distribution (continuous)
6. Contaminating 2 Normal distributions (continuous)
7. Uniform distribution (discrete)
8. Binomial distribution (discrete)
9. Poisson distribution (discrete)
2. Descriptive Statistics
1. Measures of location
3. Calculation and Simulation of Confidence Intervals
1. One sample CI for the mean with known population standard deviation
2. One sample CI for the mean with unknown population standard deviation
3. One sample CI for the variance
4. One sample CI for the proportion (normal approximation)
5. Two sample CI for the ratio of two variances
6. Two sample CI for the difference of means (assuming equal variance)
7. Two sample CI for the difference of means (not assuming equal variance)
8. Two sample CI for the difference of proportions (normal approximation)
4. Sample Size Calculations
1. One sample CI for the mean with known population standard deviation
2. One sample CI for the mean with unknown population standard deviation
3. One sample CI for the variance
5. Calculation of Hypothesis Tests
1. Tests of hypotheses
2. Level of significance of the Z-statistic
3. Level of significance of the one-sample t-statistic
4. Level of significance of the two-sample t-statistic
5. Level of significance of the chi-squared statistic
6. Level of significance of the F-statistic
6. Power of Hypothesis Tests
1. Power of a simple test of the mean (known population variance)
2. Power of a simple test of the mean (unknown population variance)
3. Power of a test of two means (pooled variance)
4. Power of a test of one variance (Chi-squared test)
5. Power of a test of two variances (F-test)
7. Approximations
1. Normal approximation of the binomial
2. Poisson approximation of the binomial
8. Density Estimation
1. The histogram
2. The kernel density estimate
9. Sampling Distributions
1. Sampling distribution of the Z-statistic
2. Sampling distribution of the one-sample t-statistic
3. Sampling distribution of the two-sample t-statistic
4. Sampling distribution of the chi-squared statistic
5. Sampling distribution of the F-statistic
6. Sampling distribution for 1 or 2 statistics
7. Sampling distribution of the mean and median
10. ANOVA
1. Visualizing F-test holding SSW or SSB constant
11. Regression
1. Visualizing correlation
2. Visualizing the variability of a regression line
3. Visualizing leverage
4. Diagnostic plots for leverage
12. Time Series
1. Time series plotter
2. Time series/log spectra matching
3. Moving average smoother
4. White noise test
5. ARMA(p,q) tester
6. Spectral density explorer
13. Minimum Variance Estimation
1. Estimating the center of a distribution (advanced)
14. Optimization
1. Optimization of Normal(mu,log(sigma squared)) (advanced)
2. Optimization of Gamma(log(a),log(b)) (advanced)