Chi-Square in Behavioral Sciences MCQs
Chi-Square in Behavioral Sciences MCQs
Our experts have gathered these Chi-Square in Behavioral Sciences MCQs through research, and we hope that you will be able to see how much knowledge base you have for the subject of Chi-Square in Behavioral Sciences by answering these 20+ multiple-choice questions.
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1: Frequency of a group in the sample of data is called
A. Observed frequency
B. Expected frequency
C. Total frequency
D. None of these
2: Frequency of a group expected to occur in a sample of data under the assumption the null hypothesis is true is called
A. Observed frequency
B. Expected frequency
C. Total frequency
D. None of these
3: Chi square statistic that tests the difference between the distribution of observed frequencies and expected frequencies.
A. True
B. False
4: Statistic that tests the difference between the distribution of observed frequencies and expected frequencies for a single variable is chi square goodness of fit test
A. True
B. False
5: ______ measure of effect size for the chi-square statistic.
A. Cramers
B. Fishers
C. Yates
D. None of these
6: Assumption of independence of observations is the assumption that each observation in a set of data is independent of all other observations.
A. True
B. False
7: ____ exact test is the chi square statistic used if any of the expected frequencies in a sample of data are less than 5.
A. Cramers
B. Fishers
C. Yates
D. None of these
8: Chi-square statistic used when any of the expected frequencies in a sample of data are between 5 and 10 is ____ correction for continuity
A. Cramers
B. Fishers
C. Yates
D. None of these
9: In which table the rows and columns represent the values of categorical variables and the cells contain observed frequencies for combinations of the variables?
A. Contingency table
B. Periodic table
C. Maths table
D. All of these
10: Assumes that sample data comes from a population that can be adequately modeled by probability distribution has fixed set of parameters is called
A. Metric statistics
B. Parametric statistics
C. Non parametric statistics
D. None of these
11: Chi square test of independence of Statistics that tests the difference between the distribution of observed frequencies and expected frequencies for ____ categorical variables.
A. One
B. Two
C. Three
D. Fourth
12: Non parametric statistical tests that do not involve the estimation of population parameters or the assumption that scores for a variable are normally distributed in the larger population.
A. True
B. False
13: When conducting a Chi-square test of independence, degrees of freedom would be ______.
A. N – 1
B. # groups – 1
C. (# rows – 1) + (# columns – 1)
D. (# rows – 1) (# columns – 1)
14: Which of the following is considered a parametric statistical test?
A. Spearman rank-order correlation
B. Pearson correlation
C. Mann-Whitney test
D. Kruskal-Wallis test
15: The appropriate test for analyzing frequencies is ______.
A. ANOVA
B. T-test
C. Chi-square
D. Degrees of freedom
16: A calculated value of the Chi-square statistic that falls between the .05 and .01 critical values would be reported as ______.
A. P < .01
B. P < .05
C. P > .01
D. P > .05
17: If you wanted to investigate whether the color preference for M&Ms was the same for men versus women, the most appropriate statistical test would be the Chi-square test for goodness of fit.
A. True
B. False
18: You are interested in whether there is a difference in the pattern of preference in men versus women when given a choice between golf, softball, and soccer. What would be the appropriate statistical test?
A. T-test
B. Chi-square goodness of fit
C. Chi-square test of independence
D. Cramér’s ɸ
19: The Chi-square goodness of fit test and the Chi-square test for independence are nonparametric tests.
A. True
B. False
20: When conducting a Chi-square goodness of fit test, degrees of freedom would be ______.
A. N – 1
B. # groups – 1
C. (# row – 1) (# columns – 1)
D. (# rows – 1) + (# columns – 1)
21: Different procedures are used to determine expected frequencies for the Chi-square test for independence versus the Chi-square test for goodness of fit.
A. True
B. False
22: The appropriate use of the Chi-square statistic is based on meeting two assumptions: the independence of observations and minimum expected frequencies.
A. True
B. False
23: A Chi-square statistic of 18.74 with df = 3 would be reported as ______.
A. P < .01
B. P < .05
C. P > .01
D. P > .05
24: A ɸ = .5 size is considered ______.
A. Statistically significant
B. A small effect
C. A medium effect
D. A large effect
25: Cramér’s ɸ can be used for the test of goodness of fit but not for the test of independence.
A. True
B. False
26: You are interested in whether people in a particular community have a preference for a particular activity when given a choice between golf, softball, and soccer. What would be the appropriate statistical test?
A. Chi-square goodness of fit test
B. Chi-square test of independence
C. T-test
D. Cramér’s ɸ
27: If you were interested in analyzing difference between 3 or more means, the most appropriate statistical analysis would be ______.
A. ANOVA
B. T-test
C. Chi-square test for goodness of fit
D. Chi-square test for independence
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Chi-Square in Behavioral Sciences MCQs
