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Distribution of the Sample Sum, Sample Mean, Sample Variance, and Sample Chi-Squared
This applet, created by Philip B. Stark of the University of California, Berkeley, illustrates this concept of the sampling distribution of a statistic by simulating the sampling distribution of the sample sum, mean,...
Confidence Interval for the Estimated Mean of a Population
Given a sample of N values of X randomly drawn from a normally distributed population, this program will calculate the .95 and .99 confidence intervals (CI) for the estimated mean of the population. Data entry is simple...
Log-Linear Analysis for an AxBxC Contingency Table
Richard Lowry of Vassar College has created a log-linear analysis which is a version of chi-square analysis. The relevant values are calculated by way of weighted natural logarithms. This page will calculate several...
Monte Carlo Simulation: The Power of the Chi-Square
In the first simulation, random samples of size n are drawn from the population one sample at a time. With df=3, the critical value of chi-square for significance at or beyond the 0.05 level is 7.815; hence, any...
One-Way Analysis of Variance for Independent or Correlated Samples
This page, created by Richard Lowry of Vassar College, will compute the one-way ANOVA for up to five samples. The design can be either for independent samples or correlated samples (repeated measures or randomized...
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