Stats II 5

3 flashcards · Other · by Daniel F.

1. One way anova

   Basics: Central question: Is there a difference in the means of the groups? analysis of variance: when comparing groups, larger variance weakens the evidence that the means are different Assumptions Populations are normally distributed populations have equal variances samples are randomly and independently drawn Testing for equality of population means H0: μ1 = μ2 = ... = μK H1: μi ≠ μj for at least one i, j pair

2. Kruskal-Wallis test

   Basics: Central question: Is there a difference among the means of the groups? non-parametric one-way ANOVA which extends the Mann-Whitney U test comparing 2 groups Assumptions samples and randomly and independently drawn distribution does not have to be normally distributed or have equal variances sample contains at least five observations from each population Use when Unable to use one-way ANOVA due to normality violation Testing for equality of population means H0: μ1 = μ2 = ... = μK H1: μi…

3. Two way ANOVA

   Basics same as one-way ANOVA but with two categorical (group) variables, each with two or more levels or categories (block) How do the categories effect the dependent variable together Assumtions populations are normal populations variances are equal sample is randomly and independently drawn Testing for group effect H0: The K population group means are all the same Testing for block effect H0: The H population block means are the same Testing for interaction effect H0: The interaction of group…