chi2_fisherexact(M)
Computes a Fisher's Exact test using data in matrix M and a significance level of 0.05 (5%).
chi2_fisherexact(M, alpha)
Computes a Fisher's Exact test using data in matrix M and a significance level alpha.
See also chi2_goodness chi2_independent
Example
There is evidence to believe that the use of chemical contraceptives is related to obesity. A study of 11 women showed the following results:
type |
|
||
Entering the basic data in a matrix we obtain:
M = ( 4, 0; 2, 5)
/ 4 0 \
\ 2 5 /
We now use function chi2_totable to transform the matrix into a proper contingency table
M=chi2_totable(M)
/ "" "" "" "" \
| "" 4 0 4 |
| "" 2 5 7 |
\ "" 6 5 11 /
Using the function chi2_fisherexact we obtain,
chi2_fisherexact(M)
Fisher's Exact Test.
Hypothesis test assumes a one-tail test for association.
For other tests, use the two-tails probability.
Ho : The two variables are not associated
Ha : The two variables are associated
Significance level : 0.05 (5.0%)
Results:
Reject the null hypothesis. (0.)
One-tail probability: 0.0454545454545454
For other tests use:
Two-tails probability: 0.06060606060606056