Analysis of Variance and Design of Experiment

<div dir="ltr" style="text-align: left;" trbidi="on"><h2 style="text-align: left;">Paper III : Analysis of Variance and Design of Experiment.</h2><h3 style="text-align: left;">UNIT-I</h3><div style="text-align: left;">Analysis of Variance. One way classification. Assumptions regarding model. Two way</div>classification with equal number of observations per cell. Duncan’s multiple comparison test.<br />Analysis of covariance.<br /><h3 style="text-align: left;">UNIT-II</h3>Principles of Design of experiments: Randomization, Replication and local control. Choice of<br />size and type of a plot using uniformity trials. CRD, Randomized block design. Concept and<br />definition of efficiency of design. Comparison of efficiency between CRD and RBD.<br /><h3 style="text-align: left;">UNIT – III</h3>Latin square Design, Lay-out, ANOVA table. Comparison of efficiencies between LSD and<br />RBD; LSD and CRD. Missing plot technique : estimation of missing plots by minimizing<br />error sum of squares in RBD and LSD with one or two missing observations.<br /><h3 style="text-align: left;">UNIT-IV</h3>Factorial Experiments : general description of factorial experiments; 22, 23 and 2n factorial<br />experiments arranged in RBD and LSD. Definition of main effects and interactions in 22 and<br />23 factorial experiments. Preparation of ANOVA by Yates procedure. Estimates and tests for<br />main and interaction effects (Analysis without confounding).<br /><div><br /></div></div>

Paper III : Analysis of Variance and Design of Experiment. UNIT-I Analysis of Variance. One way classification. Assumptions regarding model.... Read More »