The main idea of a chi-square test is to
A) test the estimated degree of fit (proportion of variance accounted for) of one variable to the other variable.
B) compare the estimated population means,to see if they vary from each other by more than chance.
C) compare estimated population variances,to see if they vary from each other by more than chance.
D) test how well the pattern of observed frequencies fits some expected pattern of frequencies.
Correct Answer:
Verified
Q10: When carrying out a chi-square test for
Q11: Although similar in some ways,one difference between
Q12: A way to determine the number of
Q13: The main difference between the test for
Q14: Which calculation is necessary for figuring the
Q16: The formula for the chi-squared statistic is
A)Σ[(O-E)2/E]
B)[Σ(O-E)2]/E
C)O/[Σ(O-E)2]
D)E/[Σ(O-E)2]
Q17: The inventor of the chi-square test was
A)Karl
Q18: The values in a chi-square distribution are
Q19: A contingency table is a table in
Q20: In a chi-square test for goodness of
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