The chi-square technique has numerous applications, including:
A) testing the alleged independence of two qualitative variables
B) making inferences about the relative sizes of more than two population proportions
C) conducting a goodness-of-fit-test to determine whether data are consistent with data drawn from a particular probability distribution
D) all of these
E) none of these
Correct Answer:
Verified
Q12: The following table shows the results of
Q13: When either the row or column totals
Q14: Tests of homogeneity are used to compare
Q15: The data that result from two binomial
Q16: The goodness-of-fit test is a two-way classification
Q18: If there are more than two row
Q19: If we want to conduct a one-tail
Q20: A contingency table classifies data with respect
Q21: Chi-square tests of independence are always lower-tailed
Q22: The chi-square test of a contingency table
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