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...Outline of this section assumptions for parametric data comparing two means student s t test more than one factor way anova factors relationship between continuous variables correlation introduction key concepts to always keep in mind null hypothesis and error types statistics inference signal noise ratio the h no effect e g difference genotypes aim a statistical is reject or not decision true state false type i correct positive do ii negative traditionally said be significant if probability high specificity low positives sensitivity negatives sample population meaningful yes real big enough statistic f stats are all about understanding controlling variation then detectable significance but interindividual large same will detected determines...