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A. Positively Skewed
B. Negatively Skewed
C. Non Skewed
D. All of these
A. Similar to
B. Different to
C. Both a and b
D. None
A. Similarity
B. Discrepancy
C. Relationship
D. Both a and b
A. Similar
B. Different
C. Both a and b
D. None
A. Cramer’s Phi
B. Cramer’s V
C. Both
D. None
A. True
B. False
A. To test hypotheses that do not make inferences about parameters in a population
B. To test hypotheses about data that can have any type of distribution
C. To analyze data on a nominal or ordinal scale of measurement
D. To test hypotheses about parameters in a population
A. Interval
B. Ratio
C. Ordinal
D. Both a and b
A. Nominal; ordinal
B. Nominal; ratio
C. Ordinal; ratio
D. Ratio; interval
A. Variance; parametric
B. Frequencies; nonparametric
C. Frequencies; parametric
D. Variance; nonparametric
A. One-way ANOVA
B. Regression
C. Chi-square goodness-of-fit test
D. Z test
A. 6
B. 4
C. 2
A. Regular coffee is preferre
B. Decaf coffee is preferre
C. Neither is preferre
D. There is not enough information to answer this question.
A. Flexibility and age are relate
B. Flexibility and age are not relate
C. Flexibility and age are independent.
D. Both B and C are appropriate.
A. The 2 x 2 chi-square
B. The 2 x 3 chi-square
C. Both chi-square tests result in a decision to reject the null hypothesis
D. None; both chi-square tests result in a decision to retain the null hypothesis
A. 12.62
B. 8.57
C. 43.5
D. There is not enough information to answer this question
A. 0.18
B. 0.27
C. 0.33
D. 0.41
A. 2
B. 3
C. 4
D. 6
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False