| APPLET | SOURCE | DESCRIPTION |
|
| The Power of the Chi-Square "Goodness of Fit" Test | Vassar Stats (Lowry) | Simulations illustrate the fairly low power of a chi-square GOF test by showing that non-significant results are very common when random data is drawn from a distribution substantially different from hypothesized. more |
| Simulations and Demonstrations, Chi Square Test of Deviations from Expected Frequencies | Rice Virtual Lab in Statistics (Lane) | Simulates samples from either a normal or a uniform and compares GOF statistics and p-values for both theoretical normal or uniform distributions, also provides exercises. more |
| Chi-square Dice Experiement | Virtual Laboratories in Probability and Statistics (Siegrist, Duehring) | Simulates dice experiment in which user can specify one of several theoretical and sampling distributions for fair or unfair dice, compares actual to theoretical and shows probability of rejecting the null hypothesis. NOTE: xhtml files may not run in all browsers. more |
| The Chi-Square Test for Multiple Categories | Schneiter | Simulates dice experiment where either fair or loaded dice are used, user can simulate rolls to calculate chi square statistics and p-values to investigate differences between actual and expected or to test the hypothesis about the fairness of the die. more |
| Simulatiolns and Demonstrations, 2 x 2 Contingency Tables | Rice Virtual Lab in Statistics (Lane) | Simulation of 2 x 2 tables for specified population proportions and sample sizes to show effects on validity of the test and the effects of the Yates correction, also provides exercises. more |
| Chi-Square Goodness of Fit Test | Vassar Stats (Lowry) | Conducts GOF test for up to 8 categories of observed frequencies and expected frequencies or proportions. Also allows generation of random samples following the specified expected proportions which can be used to estimate the probability in the case when expected cell frequencies are less than 5. more |