CHISQ. TEST Function in Excel

This guide provides a practical overview of CHISQ. TEST Function, including its main features, benefits, limitations, and important considerations.

Description: The function returns the independence test. The function returns the value from the distribution (({chi ^ 2})) when squared for statistics and the appropriate degrees of freedom. Support function from Excel 2010 version.

Syntax: CHISQ. TEST (actual_range, expected_range)

Inside:

- actual_range: The range of data that contains observations to test against the expected value.

- expected_range: The data range contains the ratio of the sum of the row and column totals to the total.

Attention:

- If actual_range, expected_range has a different number of data points -> the function returns the # N / A error value .

- Test ({chi ^ 2}) calculate statistics ({chi ^ 2}) using the formula:

[{chi ^ 2} = sumlimits_ {i = 1} ^ r {sumlimits_ {j = 1} ^ c {frac {{{{left ({{A _ {{rm {ij}}}} - {E _ {{rm {ij}}}}} right)} ^ 2}}} {{{E _ {{rm {ij}}}}}}}}]

Inside:

+ ({{A _ {{rm {ij}}}}}): Is the actual frequency in the i th row, j th column

+ ({{E _ {{rm {ij}}}}}): Is the expected frequency in the i th row, j th column

+ r: Number of rows

+ c: Number of columns

- The lower value of ({chi ^ 2}) is independent. ({chi ^ 2}) is always positive or equal to 0 and only 0 if and only if ({{A _ {{rm {ij}}}}}) = ({{E _ {{rm {ij}}}}}} ) with all i, j.

- Use the CHISQ. TEST function best when the ({{E _ {{rm {ij}}}}}) is not too small

For example:

Statistics ({chi ^ 2}) for the independence test according to the data in the table below:

- In the cell to calculate enter the formula: = CHISQ. TEST (C7: D9, E7: F9)

- Press Enter -> Statistics ({chi ^ 2}) for the independence test are:

Above are instructions and some specific examples when using the CHISQ. TEST function in Excel.

Good luck!