What is evaluated by the chi-square test for goodness of fit?
a. If proportions of a sample distribution match those of a population specified by the null hypothesis
b. If the frequencies found within an individual category match a certain shape
c. Whether the means of two or more categories differ from one another
d. Whether two variables are related to each other or independent
a. If proportions of a sample distribution match those of a population specified by the null hypothesis
Explanation:
We know that the null and alternative hypotheses for the Chi-square test for the goodness of fit are given as below:
Null hypothesis: H0: Data follows the given distribution.
Alternative hypothesis: Ha: Data do not follow the given distribution.
So, we check whether proportions of a sample distribution match those of a population specified by the null hypothesis.
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