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what is the interpretation of the ANOVA results. If the null hypothesis is rejected, what is the alternative hypothesis that is being supported? and also,
what is the interpretation of the ANOVA results. If the null hypothesis is rejected, what is the alternative hypothesis that is being supported? and also, what is a description of why these sorts of tests are useful (i.e., what do post-hoc tests add to an ANOVA?), and an interpretation of the results. For instance, what can we say about how the average stop rate of each group compares to the other?
Mean Difference | SE | t | p tukey | p bonf | p holm | ||
Black | Hispanic | 0.423 | 0.142 | 2.985 | 0.009 | 0.009 | 0.006 |
White | 0.522 | 0.142 | 3.680 | < .001 | < .001 | < .001 | |
Hispanic | White | 0.099 | 0.142 | 0.695 | 0.766 | 1.000 | 0.488 |
ANOVA Table for NYPD Drug Stop Frisks by Race/Ethnicity
Sum of Squares | df | Mean Square | F | p | 2 | |
Race/Ethnicity | 11.531 | 2 | 5.765 | 7.644 | < .001 | 0.056 |
Residuals | 167.434 | 222 | 0.754 |
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