Degrees of freedom are commonly discussed in hypothesis testing in statistics, such as a chi-square. Degrees of freedom are calculated by subtracting one from the number of items within the data ...

Note that the chi-square table is organized with degrees of freedom (df) in the left column and probabilities (P) at the top. The chi-square values associated with the probabilities are in the ...

When the row and column variables are independent, QP has an asymptotic chi-square distribution with (R-1) (C-1) degrees of freedom. For large values of QP, this test rejects the null hypothesis in ...

A chi-square (χ2) statistic is a test that is used to measure how expectations compare to actual observed data or model results.

Explain the basic idea of a chi-squared test, namely that the test statistic is based on the observed minus expected frequencies in each cell, and that this follows a chi-squared distribution with ...