smart square chi
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To calculate a chi-square statistic: Raw and mutually exclusive data is randomly drawn from a large sample of independent variables. For example, tossing a coin more than one hundred times represents a chi–square (χ2) statistic because the null hypothesis of the chi–square test is that the coin has equal chances of landing on the tail or head every time it is tossed.
The chi-square distribution is used in the common chi–square tests for goodness of fit of an observed distribution to a theoretical one, the independence of two criteria of classification of qualitative data, and in confidence interval estimation for a population standard deviation of a normal distribution from a sample standard deviation.
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