Chi-square Pearson test was used to compare proportions of the different variables used between members and non members.

The chi-square test is used to determine how two variables interact and if the association between the two variables is statistically significant.

Since the chi-square statistic for the frog offspring data was 1.44, the biologist can accept her genetic model.

When conducting a chi-squared test, the probability values derived from chi-squared distributions can be looked up in a statistical table.

The lesson covers three methods: Mendenhall's Characteristic Curves of Composition, Kilgariff's Chi-Squared Method, and John Burrows' Delta Method.

Like Kilgariff’s chi-squared, Burrows’ Delta is a measure of the “distance” between a text whose authorship we want to ascertain and some other corpus.

A chi-square test for taking categorical confounding variables into account when doing a weighted sum of the associations in each of the categories, called strata.

Unlike chi-squared, however, the Delta Method is designed to compare an anonymous text (or set of texts) to many different authors’ signatures at the same time.

The lesson covers three methods: Mendenhall’s Characteristic Curves of Composition, Kilgariff’s Chi-Squared Method, and John Burrows’ Delta Method.

In this lesson, we will use a relatively large n for the chi-squared method and a smaller one for the next method.

The following code snippet implements Kilgariff’s method, with the frequencies of the 500 most common words in the joint corpus being used in the calculation:

Thus, the choice of the suitable model to describe this phenomenon was the one which presented the higher correlation coefficient , the lowest root means square error (RMSE) and chi-square .

To further justify the validity of these comparisons, statistical tests (t-tests and chi-square tests) were analyzed on several other variables to look for significant differences between the two groups.

While the specific detection methods used by these companies are often private, Pearson's Chi-Square Test and stochastic characterization with Naïve Bayesian Classifiers are two approaches that were published in 2007.

While the specific detection methods used by these companies are often private, Pearson's chi-squared test and naive Bayes classification are two approaches that were published in 2008.