The following Hypothesis Testing (Chi-Square) MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Hypothesis Testing (Chi-Square). We encourage you to answer these 30+ multiple-choice questions to assess your proficiency.
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A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. Gamma
B. Somers’ d
C. Cramer’s V
D. Gamma and Somers’ d
A. It is a continuous distribution.
B. It is a normal distribution.
C. It is bounded to the left at zero.
D. None of these
A. If two variables are related.
B. The strength of the magnitude of a relationship
C. Whether a variable is categorical or continuous.
D. None of these
A. Somers’ d
B. Gamma
C. Cohen’s V
D. None of these
A. The independent variable predicts the dependent variable.
B. Knowing one will help predict the other.
C. Knowing one will not help predict the other.
D. The two variables have a high correlation.
A. Normal curve
B. Z curve
C. Positive skew
D. T curve
A. Sample size
B. Crosstabs table
C. Mean
D. Standard deviation
A. Lambda
B. Cramer’s V
C. Gamma
D. Lambda and Cramer’s V
A. Degrees of freedom
B. Alpha
C. Gamma
D. Degrees of freedom and alpha
A. When the null is false.
B. When the null is true.
C. Either of these
D. When the independent variable and dependent variable are related.
A. Chi-square test of independence
B. The standard error
C. All of these
D. The standard deviation
A. Cell
B. All of these
C. T scores
D. Cramer’s V
A. Matched pair
B. Repeated measure designs
C. Expected frequencies
D. None of these
A. False
B. True
A. Kendall’s taub
B. Chi-square test of independence
C. The standard error
D. All of these
A. Kendall’s tauc
B. Frequency scores
C. T-scores
D. All of these
A. Lambda
B. A random line drawn anywhere
C. None of these
D. A line that comes closer to the data points than any other lines
A. True
B. False
A. None of these
B. Alpha level
C. The degrees of freedom
D. Measures of association
A. Create a null hypothesis
B. All of these
C. Compute an ANOVA
D. Nonparametric statistics
A. Inferential statistics
B. Observed frequencies
C. Z statistics
D. None of these
A. False
B. True
A. A variable that causes other variables to react a certain way.
B. None of these
C. P value
D. The empirical event a researcher is trying to explain.
A. F Statistic
B. All of these
C. Mean
D. Parametric statistics
A. Phi
B. The manner in which research is written
C. How researchers decide what to study
D. None of these
A. Choose a statistical statistic
B. All of these
C. Make a prediction
D. Somers’ d
A. An interval
B. A number
C. Statistical dependence
D. None of these
A. True
B. False
A. Statistical significance
B. Nonparametric statistics
C. Compute an ANOVA
D. None of these
A. The sum of all deviation scores always equals zero.
B. We often end up with too many numbers.
C. χ2 distribution
D. All of these