Exam 11: Chi-Square Tests and Strategies When Population Distributions Are Not Normal

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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):

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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:

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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: 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, X<sup>2</sup>(4, N = 100)= 12.33, p < .05. Here are the results:   -What percentage of postal workers had NOT sought counseling? -What percentage of postal workers had NOT sought counseling?

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In a study with a 3 by 2 design, phi and Cramer's phi:

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The effect size for this study is figured using __________.

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All of the following are true about the inventor of the chi-square test EXCEPT:

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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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The phi coefficient for the above study was __________.

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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:

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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?

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In a study with a 4 by 4 design and a large effect size, Cramer's phi would be approximately:

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In a square-root transformation:

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Assumptions for statistical procedures are about:

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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:

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The formula for the chi-squared statistic is:

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The phi coefficient for this study is:

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Chi-square distributions are __________ skewed.

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