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Excel

The chi-squared statistic is a measure of how dispersed the data is. The chi-squared statistic is calculated by taking the sum of the squares of the differences between the observed frequencies and the expected frequencies, divided by the expected frequencies. The chi-squared statistic is used to test the null hypothesis that the data is distributed according to a specific distribution. The chi-squared statistic is calculated by using the CHISQ.TEST function in Excel. The function takes the following arguments:

D: The data set

K: The number of rows in the data set

N: The number of columns in the data set

The chi-squared statistic is calculated by taking the sum of the squares of the differences between the observed frequencies and the expected frequencies, divided by the expected frequencies. The chi-squared statistic is used to test the null hypothesis that the data is distributed according to a specific distribution. The chi-squared statistic is calculated by using the CHISQ.TEST function in Excel. The function takes the following arguments:

D: The data set

K: The number of rows in the data set

N: The number of columns in the data set

The syntax of the CHISQ.TEST function in Excel is as follows:

=CHISQ.TEST(array,deg_freedom)

Where:

array is the range of cells containing the data for the chi-squared test

deg_freedom is the number of degrees of freedom

The chi-squared test is a statistical test used to determine whether two categorical variables are associated with each other. In Excel, the CHISQ.TEST function can be used to perform the chi-squared test. The function takes two arguments: the first argument is the cell range containing the data for the first variable, and the second argument is the cell range containing the data for the second variable. The function then calculates the chi-squared statistic and the p-value.

The CHISQ.TEST function in Excel should not be used when the data is not normally distributed. Additionally, the function should not be used when the sample size is small.

The chi-squared statistic is a measure of how well a set of data is fitted to a theoretical distribution. There are a number of similar formulae to CHISQ.TEST in Excel, including the chi-squared distribution function, CHIDIST, and the chi-squared cumulative distribution function, CHIINV. These functions allow you to calculate the chi-squared statistic for a given set of data, as well as the probability of obtaining a chi-squared statistic at or above a given value.

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