Related Experiment Video
Updated: Aug 19, 2026

A Real-world What-Where-When Memory Test
Published on: May 16, 2017
An exact McNemar test for paired binary Markov chains
1Statistics Department, Temple University, Philadelphia, Pennsylvania 19122, USA.
Abstract:
A straightforward extension of the McNemar test for paired binary data yields an exact test for the equality of the limiting marginal distributions for bivariate binary Markov chains. The exact distribution of the test statistics under the null hypothesis of equal marginals depends on the classical cell occupancy statistics for the Bose-Einstein model. Exact p-values are computed for the one-sided test, and the mean and variance of the test statistic are found. The power of the Markov-McNemar test is found to be close to the power of the classical McNemar test for independent paired observations when the independence assumption holds. The method is applied to the comparison of ribosomal DNA sequences.
More Related Videos
Related Concept Videos
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in value between...
Wilcoxon Signed-Ranks Test for Matched Pairs
Friedman Two-way Analysis of Variance by Ranks
McNemar's Test

