CHI-Squared Test of Independence

Chi-square (X) test is a nonparametric statistical analyzing method often used in experimental work where the data consist in frequencies or ‘counts’ – for example the number of boys and girls in a class having their tonsils out – as distinct from quantitative data obtained from measurement of continuous variables such as temperature, height, and so on. The most common use of the test is to assess the probability of association or independence of facts [3]. This paper summarizes the chi-squared test. Beginning from the basics it discusses with descriptive examples on where and how to apply this test. The purpose of the paper is to present a quick overview on chi-square test, so that one who doesn’t have much knowledge on statistics may use it as a beginner’s guide.