Exam 11: Testing for Significance: the Chi-Square Test
Exam 1: Introduction to Statistics25 Questions
Exam 2: Levels of Measurement25 Questions
Exam 3: Graphical Statistics25 Questions
Exam 4: Measures of Central Tendency25 Questions
Exam 5: Measures of Dispersion25 Questions
Exam 6: Curves and Distributions22 Questions
Exam 7: Frequency Distributions22 Questions
Exam 8: Elementary Relationships: Crosstabulation Tables20 Questions
Exam 9: Hypotheses and Sampling Distributions22 Questions
Exam 10: Statistical Significance22 Questions
Exam 11: Testing for Significance: the Chi-Square Test21 Questions
Exam 12: Testing for Significance in Two Groups: The T-Test22 Questions
Exam 13: Testing for Significance in Multiple Groups: The Analysis of Variance Statistic21 Questions
Exam 14: The Concept of Association22 Questions
Exam 15: Testing for Association: Phi22 Questions
Exam 16: Testing for Association: Pearsons R and Regression22 Questions
Exam 17: Doing Real Research: Elementary Multivariate Relationships21 Questions
Exam 18: Statistics and Data Analysis20 Questions
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The larger the value of Chi-square value, the smaller the probability.
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The Chi-square test is designed to be used with
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B
Observed frequencies in Chi-square refers to
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C
Chi-square gets its name because of the fact that the O - E differences are squared.
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Chi-square is a measure of the cumulative differences between what we expect to get and what we really get.
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If you have a 2x2 table and a small number of cases, the best choice of statistic below is:
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If you have a 2x2 table, the number of degrees of freedom is
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Because sample size affects probability levels, never use a measure of significance to mean strength of relationship.
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Degrees of freedom in a Chi-square test refers to the total number of cases divided by the number of cells in a table.
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Fisher's Exact Test is expressly designed for large samples that Chi-square cannot handle.
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Which of the following statistics can be used to determine whether or not there is a statistically significant relationship between two variables in a 2x3 crosstabulation table?
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Which of the following can cause problems in the accurate interpretation of Chi-square?
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Interval-level data is particularly appropriate for Chi-square because it is less likely to violate assumptions.
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