HCS202 Study Guide - Parametric Statistics, Chi-Squared Distribution, Chi-Squared Test
31 Jan 2022
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Paired sample t test= will coxon signed rank test. 2 iv that are related to each other. Iv has more than two levels that are related to each other. Spearman"s rank coefficient: examines the relationship between: two ordinal variables, one ordinal, one interval or ratio. Parametric: assumption that continuous variables were normally distributed. More likely to detect true differences, low probability of type 2. Nonparametric: use when non robust violations are violated in a parametric test, Real life situations- comparing categorical or continuous variables when data is skewed. Chi square test: used when looking at relationship between two nominal variables (nonparametric) , comparing observed vs expected frequencies. Assumptions: both variables are categorical, all observations are independent, random sample, expected value of cells should be 5 or greater in at least 80%. Ho: in the general population, there is no significant difference between the observed and expected frequencies, or association between the two categorical variables a and b.
