Practical
- Uniformity trial data analysis, formation of plots and blocks, Fairfield Smith Law, Analysis of data obtained from CRD, RBD, LSD, Analysis of factorial experiments,
- Analysis with missing data,
- Split plot and strip plot designs.
| Course Name | Experimental designs |
| Course Code | 25STA503 |
| Program | M. Sc. (Agriculture) in Agronomy |
| Campus |
Practical
Need for designing of experiments, characteristics of a good design. Basic principles of designs- randomization, replication and local control.
Uniformity trials, size and shape of plots and blocks, Analysis of variance, Completely randomized design, randomized block design and Latin square design.
Factorial experiments, (symmetrical as well as asymmetrical). orthogonality and partitioning of degrees of freedom. Concept of confounding.
Split plot and strip plot designs, analysis of covariance and missing plot techniques in randomized block and Latin square designs; Transformations, Balanced Incomplete Block Design, resolvable designs and their applications, Lattice design, alpha design – concepts, randomization procedure, analysis and interpretation of results. Response surfaces. Combined analysis.
Designing an experiment is an integrated component of research in almost all sciences. The students would be exposed to concepts of design of experiments so as to enable them to understand the concepts involved in planning, designing their experiments and analysis of experimental data.
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