PSY202H1 Chapter 17: PSY202 - Chapter 17 (Lecture 9-10)
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Psy202 chapter 17: the chi-square statistic (lecture 9-10) It is simpler to obtain category measurements (e. g. measuring leadership ability as high, medium, low) The original scores may violate some of the basic assumptions that underlie certain statistical procedures. The original scores may have unusually high variance, which is a major component of the standard error in the denominator of t statistics and f-ratios. An experiment produces an undetermined, or infinite score. Chi-square test for goodness of fit: uses sample data to test hypotheses about the shape or proportions of a population distribution. The test determines how well the obtained sample proportions fit the population proportions specified by the null hypothesis. Based on differences between frequencies we observe (fo) and those we expect (fe) No numerical score, no mean or variance. The null hypothesis for the goodness of fit test. The null hypothesis for the chi-square goodness of fit specifies the proportion (percentage) of the population in each category.
