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About Biometry

Review of statistical concepts. Principles of agricultural experimentation, Commonly used experimental designs in agriculture (Completely randomized design with equal and unequal replications, randomized complete block design, Latin square design, nested design (Repeated Latin Squares, Graeco-Latin Squares), split plot design, Strip plot designs, Compact Family Block designs), change-over design (cross over, switchback). Principles of designs, randomization and experimental layout, experimental error, data structure, analysis of variance (ANOVA), mean separation, interpretation and presentation. Efficiency of blocking in case of blocked experiments and the assumptions behind the analysis of variance. Factorial experiments: principles, treatment structure, two, three or more factors factorial experiments, their ANOVA, main effect and interaction, simple linear regression, correlation, Chi-square test.

Course Highlights

The videos section of this course features a selection of video lectures and interviews of Biometry faculty from various Departments at KIoT.