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Chi-square calculator


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Chi-square Test
Test of independence

A vaccine trail produced the following results:

        infected   uninfected
placebo   81          1427
vaccine  179          2824
The null hypothesis: there is no relationship between row and column frequencies, i.e., vaccine/placebo will not have any effect in the infected/uninfected frequencies. Using test of independence, we find p = 0.42 and conclude that the null hypothesis cannot be rejected, i.e., the vaccine is not effective.

Goodness of fit

The cross of A a B b X a a b b is used to determine whether the two loci are linked. The results are shown below:

A a B b     310
a a b b     315
A a b b     287
a a B b     288
The null hypothesis: the two loci are not linked, thus the ratio should be 1:1:1:1. The expected frequencies are:
A a B b     300
a a b b     300
A a b b     300
a a B b     300
Using the Goodness of fit test, we find p = 0.55. So the null hypothesis cannot be rejected: the two loci may not be linked.

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