Exam 14: Chi-Square Test
Exam 1: Introduction and Mathematical Preliminaries146 Questions
Exam 2: Frequency and Probability Distributions150 Questions
Exam 3: Measures of Central Tendency and Variability154 Questions
Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution176 Questions
Exam 5: Pearson Correlation and Regression: Descriptive Aspects152 Questions
Exam 6: Probability149 Questions
Exam 7: Estimation and Sampling Distributions151 Questions
Exam 8: Hypothesis Testing: Inferences About a Single Mean160 Questions
Exam 9: Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships150 Questions
Exam 10: Independent Groups T-Test149 Questions
Exam 12: One-Way Repeated Measures Analysis of Variance140 Questions
Exam 13: Pearson Correlation and Regression: Inferential Aspects143 Questions
Exam 14: Chi-Square Test145 Questions
Exam 15: Nonparametric Statistics135 Questions
Exam 16: Two-Way Between-Subjects Analysis of Variance117 Questions
Exam 17: Overview and Extension: Statistical Tests for More Complex Designs124 Questions
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The chi-square test is based on the assumption that the observations are independently sampled from the population of all possible observations.
(True/False)
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Yates' correction for continuity involves which of the following procedures?
(Multiple Choice)
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In chi-square analysis,the sum of the discrepancy scores are combined to create an index known as the ____________________ estatistic.
(Short Answer)
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Which of the following is an appropriate and viable approach to statistically analyzing the nature of the relationship for a statistically significant chi-square test?
(Multiple Choice)
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When the degrees of freedom of a chi-square statistic are small (for example,2),the shape of the sampling distribution will be _______.
(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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Yates' correction for continuity should not be used because it tends to reduce statistical power while adding little control over Type I errors.
(True/False)
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Research has found that Fisher's Exact Test,an alternative method for testing the relationship between two variables in 2 X 2 tables,is less powerful than the chi-square test.
(True/False)
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In order to calculate an expected frequency for a given cell,you divide the total of the column (the column marginal frequency)in which it appears by the total number of observations and then multiply this by the total of the row (the row marginal frequency)in which the cell appears.
(True/False)
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The test of the chi-square statistic applies to the sample as a whole and provides useful information as to which cells are responsible for rejecting the null hypothesis.
(True/False)
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Which of the following conditions would necessitate choosing a test other than chi-square test of independence?
(Multiple Choice)
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Because the chi-square test is typically used to analyze the relationship between two qualitative variables,it cannot be used when one or both variables are quantitative.
(True/False)
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When trying to decide the sample size necessary to achieve a particular level of statistical power,what information is needed?
(Multiple Choice)
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AS N increases results of the chi-square test become more similar to which of the following alternatives?
(Multiple Choice)
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For the example in question 11,which is the more appropriate statistical test to analyze the data?
(Multiple Choice)
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The entries within the cells of a contingency table represent the number of individuals in the sample who are characterized by the corresponding levels of the _____ and are referred to as _____.
(Multiple Choice)
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The chi-square statistic reflects the overall difference between the ____________________ and the expected frequencies.
(Short Answer)
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Each unique combination of variables in a contingency table is referred to as a cell.
(True/False)
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16.c2 (1,N = 200)= 12.89,p < .05.What is the value for the degrees of freedom?
(Multiple Choice)
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A chi-square test can only be used to analyze the relationship between qualitative variables.
(True/False)
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