Chat with AIExam 11: Testing for Significance: the Chi-Square Test
Exam 1: Introduction to Statistics 24 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 Distributions21 Questions
Exam 10: Statistical Significance22 Questions
Exam 11: Testing for Significance: the Chi-Square Test22 Questions
Exam 12: Testing for Significance in Two Groups: the T-Test21 Questions
Exam 13: Testing for Significance in Multiple Groups: the Analysis of Variance Statistic20 Questions
Exam 14: The Concept of Association19 Questions
Exam 15: Testing for Association: Phi19 Questions
Exam 16: Testing for Association: Pearsons R and Regression21 Questions
Exam 17: Doing Real Research: Elementary Multivariate Relationships19 Questions
Exam 18: Box Plots3 Questions
Exam 19: Skewness and Kurtosis3 Questions
Exam 20: Ordinal-Level Tests of Significance2 Questions
Exam 21: Multiple Comparison Tests3 Questions
Exam 22: Nominal Level Tests of Association4 Questions
Exam 23: Ordinal Level Tests of Association4 Questions
Exam 24: Addendum Probability3 Questions
Select questions type
Which of the following can cause problems in the accurate interpretation of Chi-square?
(Multiple Choice)
4.9/5 
(46)
(46) Interval-level data is particularly appropriate for Chi-square because it is less likely to violate assumptions.
(True/False)
4.8/5 (42)
(42) 
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)