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Explain the Chi – Square test and when it is appropriate.

Explain the Chi – Square test and when it is appropriate.

Math   Statistics-And-Probability   
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The Chi-square test is intended to test how likely it is that an observed distribution is due to chance. It is also called a "goodness of fit" statistic, because it measures how well the observed distribution of data fits with the distribution that is expected if the variables are independent.

A Chi-square test is designed to analyze categorical data. That means that the data has been counted and divided into categories. It will not work with parametric or continuous data (such as height in inches)

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