One-way between (independent) groups anova: sstotal = ssbetween + sswithin. One-way within groups (repeated measures) anova dfbetween: sstotal = ssbetween + sswithin + sssubjects. F = msb msb = ssbetween msw = sswithin dfwithin. What needs to be done after factorial anova: effect size & post-hoc tests. Hypothesis testing with anova: nh chapter 12 (two-way anova, https://www. youtube. com/watch?v=lzfmfuzgqtk. What does this actually mean: conditional probability assuming null is true (doesn"t tell us whether null is true or false , probability of result occurring on null distribution. Increasing the number of levels of an independent variable: Provides more info about relationship than 2 level design. Allows possibility of determining if curvilinear relationship exists as opposed to strictly linear relationship. In addition to having more than 2 levels of variable, experiments can also be designed w/ more than 1 independent variable: independent variables also referred to as factors. Effect of each independent variable (individually) on dependent variable referred to as main effect.