Returns the probability of a deviance from a random distribution of two test series based on the chi-square test for independence. CHISQ.TEST returns the chi-square distribution of the data.
Returns a real number which is the chi-square distribution of the data. It is a probability and hence it ranges from 0 to 1, i.e. [0,1].
DataB is a range of references to the cells containing the array of the observations.
DataE is a range of references to the cells containing the range of the expected values.
- If DataB and DataE have different number of data points then the function returns an error value.
- If any of the cell whose reference is passed contains a non-numeric value then the function returns an error value.
The probability determined by CHISQ.TEST can also be determined with CHISQ.DIST, in which case the chi-square of the random sample must be passed as a parameter instead of the data row.
- The χ2 test first calculates a χ2 statistic using the formula:
Aij = element of actual data which is DataB in our case
Eij = element of expected values which is DataE in our case
r = number or rows
c = number of columns
Then CHIDIST is called with chi-square value and a degree of freedom (df). If r>1 and c>1: df = (r-1)(c-1) else df = r*c-1 and CHISQ.TEST = CHISQ.DIST(χ2;df;TRUE()).
- For more details on CHISQ.TEST, visit Wikipedia
|Data_B (observed)||Data_E (expected)|
|=CHISQ.TEST(A1:A6;B1:B6)||This is the probability which suffices the observed data of the theoretical chi-square distribution.||0.020975769403022|
|=CHISQ.TEST(A1:A5;B1:B6)||DataB size not equal to that of DataE so the function will return an error value.||Err:502|
Related LibreOffice functions:
Equivalent Excel functions: