In a chi-square goodness-of-fit-test, the larger the difference between the set of expected
Frequencies and the set of observed frequencies:
A) the more likely we are to conclude that the observed distribution is similar to the expected distribution.
B) the more likely it will be that we will not reject the null hypothesis.
C) the more likely we will reject the null hypothesis.
D) the more likely we will be to not accept the alternative hypothesis.
Correct Answer:
Verified
Q27: The chi-square distribution can assume
A)only positive values.
B)only
Q53: The chi-square distribution becomes more symmetrical as
A)
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