Statistical Designs And Regression Analysis In Agricultural Sciences

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G. MOHAN NAIDU* AND P. SUMATHI

Department of Statistics and Maths, S.V. Agricultural College, Tirupati – 517 502

ABSTRACT

Statistics is important in the field of agriculture, because it provides tools to analyze collected data. Many modern statistical techniques were first developed for use in agricultural research, and many basic statistical tools are still important for such research. Good experimental design, following the basic principles of experimental designs, allows the control of anticipated environmental variation and the estimation of treatment effects in the presence of such variation. ANVOA provides a wide-ranging approach to the analysis of data from designed experiments, aiding the interpretation of the results of complex experiments. Regression analysis can be used to explore the relationships between a quantitative response variable and one or more quantitative explanatory variables.

KEYWORDS:

ANOVA, Experimental design, GLM, Hypothesis testing, Regression, p-value, Variability