Chi-Square is a statistical test used to determine if there is a significant difference between observed and expected frequencies in a data set. It is used to compare observed data to expected data to see if there is a significant difference between the two. It is a powerful tool for testing relationships between categorical variables.

A Chi-Square Calculator is a statistical tool used to calculate the Chi-Square statistic, which is a measure of the difference between observed and expected frequencies in a given set of data. It is used to determine if there is a statistically significant difference between the observed and expected frequencies.

Chi-Square is a statistical test used to determine if there is a significant difference between the expected frequencies and the observed frequencies in one or more categories. To calculate Chi-Square, you will need to first calculate the expected frequencies for each category. This is done by taking the total number of observations and dividing it by the number of categories. Then, you will need to calculate the observed frequencies for each category. This is done by counting the number of observations in each category. Once you have the expected and observed frequencies, you can calculate the Chi-Square statistic by subtracting the expected frequency from the observed frequency for each category, squaring the difference, and dividing it by the expected frequency. The sum of all of these calculations is the Chi-Square statistic.

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