Analysis of Variance (ANOVA) is a statistical technique used in experimental design. It is an extension of the t-test, which is used to compare the means and variances of two or more groups.
The analysis of variance (ANOVA) is a statistical method that divides a data set's observed aggregate variability into two parts: systematic components and random factors. Random factors have no statistical impact on the supplied data set, whereas systematic influences do.
The main and interaction effects of categorical factors on a continuous dependent variable are tested using analysis of covariance, which controls for the effects of selected other continuous variables that co-vary with the dependent. The "covariates" are the control variables.
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SHAIKH TOHEED
5
good but practical knowledge not perfect
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PUSHPAK DILLIP MALI
4
The content and teaching style is excellent.
But there is slight issue is that video quality is kind of poor the dashboard is blur on 720mp on PC.
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Sayali Jadhav
4
Very useful all data
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Syed Mohammad Qaiser Rizvi
5
Way of teaching is very good. I want to get PPT which he is using to teach us ?
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Anuja Bagadi
5
It is a very interactive and useful course..
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Kashinath Myakale
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All courses is very useful for which are looking free courses and gaining knowledge
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