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i. In the goodness-of-fit test, the chi-square distribution is used to determine how well an observed
Set of observations "fits" an "expected" set of observations.
ii. The sum of the expected frequencies and the sum of the observed frequencies must be equal.
iii. If the computed value of chi-square is less than the critical value, reject the null hypothesis at a
Predetermined level of significance.
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