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Baris ka-1: InDina [[~~statistics~~statistik]], '''analysis of variance''' ('''ANOVA''') is a collection of [[statistical model]]s and their associated procedures which compare means by splitting the overall observed variance into different parts. The initial techniques of the analysis of variance were pioneered by the [[statistician]] and [[geneticist]] [[Ronald Fisher]] in the [[1920s]] and [[1930s]]. There are three conceptual classes of such models: Fixed-effects model assumes that the data come from [[normal distribution\|normal populations]] which differ in their means. Baris ka-7: Mixed models describe situations where both fixed and random effects are present. The fundamental technique is a partitioning of the total sum of squares into components related to the effects in the model used. For example, we show the model for a simplified ANOVA with one type of treatment at different levels. (If the treatment levels are quantitative and the effects are linear, a [[~~linear~~regresi ~~regression~~linier]] analysis may be appropriate.) : <math>SS_{\hbox{Total}} = SS_{\hbox{Error}} + SS_{\hbox{Treatments}}</math>

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