Chapter 11: Goodness of Fit and Contingency AnalysisMethod to determine if a truly significant difference exists between observedand expectedfrequencies–i.e., as per K-S Goodness-of-FitUse: testing to see if a model produces frequency counts (i.e., a distribution) that reflects reality–e.g., see textbook p. 160: spatial interaction models Know the purpose of the test–Not responsible for solving (stick with Test #1)Test #2:CHI-Square Goodness-of-Fit
Chapter 11: Goodness of Fit and Contingency AnalysisTest #3: Contingency Analysis
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Chapter 11: Goodness of Fit and Contingency AnalysisDifferent from tests 1 and 2 in Ch. 11–Tests 1 # 2: used for testing an observed against an expected frequency distribution–i.e., single variablegoodness-of-fitContingency Analysis: testing two variablesto see if their distributionsare the same–This answers the question: are two variables statistically independent?–Variables are organized into nominal or ordinal categories and frequency counts used.Test #3:Contingency Analysis