Exam 15: Nonparametric Statistics: The Chi-Square Test
Exam 1: A Gentle Introduction25 Questions
Exam 2: Descriptive Statistics: Understanding Distributions of Numbers25 Questions
Exam 3: Statistical Parameters: Measures of Central Tendency and Variation25 Questions
Exam 4: Standard Scores, the Z Distribution, and Hypothesis Testing25 Questions
Exam 5: Inferential Statistics: The Controlled Experiment, Hypothesis Testing, and the Z Distribution15 Questions
Exam 6: An Introduction to Correlation and Regression30 Questions
Exam 7: The T Test for Independent Groups15 Questions
Exam 8: The T Test for Dependent Groups20 Questions
Exam 9: Analysis of Variance Anova: One-Factor Completely Randomized Design30 Questions
Exam 10: After a Significant Analysis of Variance: Multiple Comparison Tests16 Questions
Exam 11: Analysis of Variance Anova: One-Factor Repeated-Measures Design10 Questions
Exam 12: Analysis of Variance: Two-Factor Completely Randomized Design25 Questions
Exam 13: Post Hoc Analysis of Factorial Anova20 Questions
Exam 14: Factorial Anova: Additional Designs20 Questions
Exam 15: Nonparametric Statistics: The Chi-Square Test20 Questions
Exam 16: Other Statistical Parameters and Tests20 Questions
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Chi-square tests are designed to determine whether an observed frequency differs from
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A consumer psychologist was testing a new coffee blend. She randomly chose 230 people to try a taste of three samples (Sample A, Sample B, and Sample C). The results were that 98 people chose Sample A, 42 people chose Sample B, and 90 chose Sample C.
-The derived chi-square value for this problem is
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A statistician in a small town wishes to determine if persons treated for an accident involving a joint injury were more likely to go to an orthopedist or a chiropractor. In the small town, there is only one orthopedist and one chiropractor. The orthopedist saw 118 people for joint injuries in one year. The chiropractor saw 83.
-The conclusion for this problem would be
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Correct Answer:
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The expected cell frequency for the men who preferred a spouse for love is
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The conclusion for this problem would be
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A nonparametric statistical test has _____ power compared to a parametric statistical test.
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The degrees of freedom for this chi-square problem are
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The derived chi-square value for this problem is
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The degrees of freedom for this chi-square problem are
(Multiple Choice)
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A consumer psychologist was testing a new coffee blend. She randomly chose 230 people to try a taste of three samples (Sample A, Sample B, and Sample C). The results were that 98 people chose Sample A, 42 people chose Sample B, and 90 chose Sample C.
-The degrees of freedom for this chi-square problem are
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The expected cell frequency for the people living after atherectomy is
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The derived chi-square value for this problem is
(Multiple Choice)
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Which of the following is not an assumption of the chi-square test?
(Multiple Choice)
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A statistician in a small town wishes to determine if persons treated for an accident involving a joint injury were more likely to go to an orthopedist or a chiropractor. In the small town, there is only one orthopedist and one chiropractor. The orthopedist saw 118 people for joint injuries in one year. The chiropractor saw 83.
-The derived chi-square value for this problem is
(Multiple Choice)
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A consumer psychologist was testing a new coffee blend. She randomly chose 230 people to try a taste of three samples (Sample A, Sample B, and Sample C). The results were that 98 people chose Sample A, 42 people chose Sample B, and 90 chose Sample C.
-The conclusion for this problem would be
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The critical value of the chi-square for this problem at p = .05 is
(Multiple Choice)
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A psychologist wanted to determine what was more important in the choice of a spouse: love or money. The psychologist surveyed 290 unmarried psychology students and asked them whether they would choose a prospective mate based on love or money. The professor was also interested to see if the choice would vary by gender. The professor found that 68 men preferred a spouse based on love, 33 men preferred a spouse based on money, 79 women preferred a spouse based on love, and 110 women preferred a spouse based on money.
-The conclusion for this problem would be
(Multiple Choice)
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A chi-square test can be similar to a factorial ANOVA in that it can analyze two or more __________ at once.
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