The Chi-squared test is a statistical test used to compare observed data with data you would expect to obtain according to a specific hypothesis. It allows you to determine if any difference between the observed and expected results is statistically significant or likely due to chance. The test works by calculating a chi-squared statistic and using it to determine the probability that the observed differences could have occurred by chance.

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