PSYC 305 Study Guide - Final Guide: Regression Analysis, Royal Institute Of Technology, Total Variation
Document Summary
Nonparametric test: parametric test, assumptions, normal distribution. In a normal distribution, mean and variance are called parameter : statistical test that assume a distribution and use parameter are called. Parametric test : equal variances (homogenous variances, equal covariances (homogenous covariances) repeated measures data, nonparametric test, def: statistical test that do not assume a distribution or use parameter are called. Classification of the nonparametric tests: the tests can be classify according to the following criteria: (table: the level of measurement (nominal or ordinal, which information is used (frequency, sign, rank) iii. Independent or dependent samples: the number of samples to be compared (k=1, k=2, k>2, chi-square ( 2) test, chi-square is used for testing the independence of nominal. Independence: when variables are not associated/ when the score of one variable do not depend on the scores of the others: the data are arranged in the form of a table called contingency table, prior assumptions requirement:
