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2014•Wiley StatsRef: Statistics Reference OnlineRequires access

Binomial Test

Michaela Wagner‐Menghin

Open publisher page 2 citations

Abstract

Abstract This entry illustrates the binomial distribution and uses a common coin toss experiment as an example for calculating the probabilities of the binomial distribution. The binomial test is then introduced as a valuable test when dealing with dichotomous variables. Using the introduced coin toss experiment, the statistical hypothesis of this test and the calculation of an exact binomial test with and without software are illustrated.

About this research paper

What this paper is about

Abstract This entry illustrates the binomial distribution and uses a common coin toss experiment as an example for calculating the probabilities of the binomial distribution. The binomial test is then introduced as a valuable test when dealing with dichotomous variables. Using the introduced coin toss experiment, the statistical hypothesis of this test and the calculation of an exact binomial test with and without software are illustrated.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Abstract This entry illustrates the binomial distribution and uses a common coin toss experiment as an example for calculating the probabilities of the binomial distribution. The binomial test is then introduced as a valuable test when dealing with dichotomous variables. Using the introduced coin toss experiment, the statistical hypothesis of this test and the calculation of an exact binomial test with and without software are illustrated.

Key concepts: Binomial test, Binomial (polynomial), Continuity correction, Binomial distribution, Negative binomial distribution, Statistics, Mathematics, Binomial proportion confidence interval

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