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LOS 12.k: Distinguish between parametric and                                                       Session Unit 3:

     nonparametric tests and describe situations in                                                     12. Hypothesis Testing
     which the use of nonparametric tests may be
     appropriate, p.302.










       Parametric tests (test, F, chi-square) focus on specific population parameters (mean, variance) and
       make assumptions regarding the distribution of the population from which samples are drawn.





       Nonparametric tests either do not consider a particular population parameter or have few
       assumptions about the sampled population distribution!





        e.g. Spearman rank correlation test, say of stock returns over 2 years:


            + 0.85 = high (low) rank in one year is associated with a high (low) rank in the second year.
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