Exam 11: Chi-Square Tests and Strategies When Population Distributions Are Not Normal
Exam 1: Displaying the Order in a Group of Numbers Using Tables and Graphs72 Questions
Exam 2: The Mean, Variance, Standard Deviation, and Z Scores84 Questions
Exam 3: Correlation and Prediction96 Questions
Exam 4: Some Key Ingredients for Inferential Statistics: the Normal Curve, Sample Versus Population, and Probability71 Questions
Exam 5: Introduction to Hypothesis Testing99 Questions
Exam 6: Hypothesis Tests With Means of Samples77 Questions
Exam 7: Making Sense of Statistical Significance: Effect Size and Statistical Power73 Questions
Exam 8: Introduction to the T Test: Single Sample and Dependent Means115 Questions
Exam 9: The T Test for Independent Means85 Questions
Exam 10: Introduction to the Analysis of Variance131 Questions
Exam 11: Chi-Square Tests and Strategies When Population Distributions Are Not Normal124 Questions
Exam 12: Applying Statistical Methods in Your Own Research Project52 Questions
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A hypothesis-testing procedure that examines how well an observed frequency distribution of a single nominal variable fits some expected pattern of frequencies is a(n):
(Multiple Choice)
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The result of using a parametric test with data transformed into ranks:
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What is an important point to consider for any data transformation procedure:
(Multiple Choice)
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For the following question(s): A study reported; "A chi-square test for independence was conducted to explore the relationship between whether a person had or had not sought psychological counseling and the person's profession (lawyer, car dealer, college professor, high school teacher, and postal worker). A significant relationship was found, X2(4, N = 100)= 12.33, p < .05." Here are the results:
-What percentage of postal workers had NOT sought counseling?

(Multiple Choice)
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All of the following are true about the inventor of the chi-square test EXCEPT:
(Multiple Choice)
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Which of the following are the correct scores if 4, 25, 25, and 100 were transformed using the rank-order method?
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The effect size for this study comes out to __________ , which is a(n)__________ effect size.
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If there is a ceiling or floor effect, the distribution will probably be __________.
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A log transformation has the same type of effect as a square-root transformation, but the effect is stronger, so it is more suitable for distributions that are:
(Multiple Choice)
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Which of the following are the correct scores if 1, 4, 25, and 81 are transformed using the rank-order method?
(Multiple Choice)
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In a study with a 4 by 4 design and a large effect size, Cramer's phi would be approximately:
(Multiple Choice)
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The approximate total number of participants needed for 80% power with a 3 by 3 (df = 4)contingency table at the .05 level if you expect a medium effect would be:
(Multiple Choice)
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