The main idea of a chi-square test is that you:
A) test the estimated degree of fit (proportion of variance accounted for) of one variable to the other variable
B) compare the population means to see if they vary from each other more than by chance
C) compare population variances, to see if they vary from each other more than by chance
D) test how well the pattern of observed frequencies fits some expected pattern of frequencies
Correct Answer:
Verified
Q1: When carrying out a chi-square test for
Q3: A situation of no relation between variables
Q4: A(n)_ statistic reflects the overall lack of
Q5: A cell's expected frequency is:
A)the number of
Q6: All of the following are steps in
Q7: In a chi-square test, the variables are:
A)rank-order
Q8: The inventor of the chi-square test was:
A)Karl
Q9: A contingency table is a table in
Q10: The _ distribution is always greater than
Q11: The formula for the chi-squared statistic is:
A)Σ[(O-E)2/E]
B)[Σ(O-E)2]/F
C)O/[Σ(O-E)2]
D)E/[Σ(O-E)2]
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