CRIM 320 Chapter Notes - Chapter 9: Parametric Statistics, Null Hypothesis, Chi-Squared Distribution

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When a test of significance (such as the t ratio or the analysis of variance), requires: Normality in the population (or at least large samples so that the sampling distribution is normal) This is referred to as a parametric test. Parametric test: a statistical procedure that requires that the characteristic studied be normally distributed in the population and that the researcher have interval data. Staticians have developed a number of nonparametric tests of significance tests whose list of requirements does not included normality or the interval level of measurement. Nonparametric test: a statistical procedure that makes no assumptions about the way the characteristic being studied is distributed in the population and requires only ordinal or nominal data. To understand the position of nonparametric tests in criminal justice research, we must also understand the concept of the power of test, the probability of rejecting the null hypothesis when it is actually false and should be rejected.

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