Chi-Square and Nonparametric Tests in Statistics MCQ
A chi-square test of two dimensions or more that examines whether the distribution of frequencies on a variable is _____ of other variables.
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Correct Answer:
Independent
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In which test the goodness of fit test is on one dimension, which examines whether the distribution of frequencies is different from what one would expect by chance.
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Correct Answer:
Chi square test
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Distribution-free statistics that do not require the same assumptions as do parametric statistics is called
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Correct Answer:
Nonparametric
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Statistics used for the inference from a sample to a population that assume the variances of each group are similar is called
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Correct Answer:
Parametric
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What is the consequence of violating one of the necessary assumptions of parametric inferential statistics?
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Correct Answer:
The actual probability of making a Type I error is larger than α.
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In a chi-square procedure, we test whether “the frequencies in each category in the sample data ______
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Correct Answer:
Represent specific frequencies in the population.”
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Nonparametric procedures are usually NOT our first choice among statistical procedures because ______.
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Correct Answer:
They are less powerful than parametric procedures
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Which of the following is NOT an assumption of the χ2 test?
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Correct Answer:
It is appropriate only for ordinal data.
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Which of the following statements about nonparametric procedures is FALSE?
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Correct Answer:
Nonparametric procedures do not assume that samples come from population distributions.
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Nonparametric is to parametric as ______ is to ______.
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Correct Answer:
Chi-square-test; t-test
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The sum of the observed frequencies from all categories must equal ______.
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Correct Answer:
N
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When are nonparametric procedures used instead of parametric procedures?
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Correct Answer:
When our data do not meet the assumptions of parametric procedures
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Parametric is to nonparametric as ______ is to ______.
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Correct Answer:
Independent-groups t test; chi-square test for independence
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If I calculated my phi coefficient to be 0.35, what would this mean?
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Correct Answer:
That there is a medium effect size
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Which of the following is TRUE regarding the chi-square test of independence?
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Correct Answer:
It requires a numerical (quantitative) score for each individual.
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