EXPERIMENTAL DESIGNS

Teacher

Dr. Tufleuddin Biswas

Category

Core Courses

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Course Name- Experimental Design

Course No: STAT 0511 

Credit hours = 3 (2-1-0)

Course Objectives

This course is meant for students of agricultural and animal sciences other than Statistics. 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.

Course outcome (CO-PSO Mapping)

 

COs Course outcomes Mapping COs with PSOs 
CO1 Understand the principles and concepts of experimental design in the context of agricultural research. PSO1
CO2 Apply appropriate experimental designs to address research questions and objectives in agriculture. PSO1
CO3 Demonstrate proficiency in selecting and implementing suitable experimental designs. PSO3

PSO1 : Impart knowledge and understanding of fundamental concepts and techniques of maintaining and enhancing soil fertility, crop production, crop management, crop improvement, biodiversity and sustainability of agriculture worldwide.
PSO3 : Apply knowledge of basic science through Agricultural microbiology, Plant biochemistry and Biotechnology.

Syllabus 

Theory:

UNIT I: Need for designing of experiments, characteristics of a good design. Basic principles of designs- randomization, replication and local control.

UNIT II: Uniformity trials, size and shape of plots and blocks; Analysis of variance; Completely randomized design, randomized block design and Latin square design.

UNIT III: Factorial experiments, (symmetrical as well as asymmetrical) orthogonality and partitioning of degrees of freedom, Confounding in symmetrical factorial experiments, Factorial experiments with control treatment.

UNIT IV: Split plot and strip plot designs; Analysis of covariance and missing plot techniques in randomized block and Latin square designs; Transformations, crossover designs, balanced incomplete block design, resolvable designs and their applications ~ Lattice design, alpha design - concepts, randomisation procedure, analysis and interpretation of results. Response surfaces. Experiments with mixtures.

UNIT V: Bioassays- direct and indirect, indirect assays based on quantal dose response, parallel line and slope ratio assays potency estimation

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 without and with confounding; Analysis with missing data; Split plot and strip plot designs; Transformation of data; Analysis of resolvable designs; Fitting of response surfaces.

Session Plans (Theory):

Theory Lecture (1) :

Need for designing of experiments, characteristics of a good design.

Basic principles of designs- randomization, replication and local control.

Theory Lecture (14-16):

Split Plot and Strip Plot Designs

Theory Lecture (28-32):

Bioassays- direct and indirect,

Indirect assays based on quantal dose response,

Parallel line and slope ratio assays potency estimation.

 

Revisions

Session Plan (Practical):

Practical Lecture (3-5):

Analysis of data obtained from CRD, RBD, LSD

Practical Lecture (9-10):

Analysis with missing data (RBD & LSD)

Practical Lecture (14-16):

Analysis of resolvable designs; Fitting of response surfaces

Revisions

E-material

Experimental Design

Assignment and Question bank

Assignment of Experimental Design

Question Bank 

Our Main Teachers

Dr. Tufleuddin Biswas completed his M.Sc. in Agricultural Statistics from Bidhan Chandra Krishi Viswavidyalaya, West Bengal. He also completed his Ph.D. from the same institution’s Department of Agriculture Statistics. He worked as a senior research fellow (SRF) on the Conservation Agriculture project funded by the Indian Council of Agricultural Research, National higher education project (ICAR- […]

Dr. Soumik Ray

Assistant Professor
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Dr. Soumik Ray Assistant Professor and Hod Department of Agricultural Economics and Statistics Centurion University of Technology and Management, Odisha, India. Dr. Soumik Ray received the NCRTNFBASE-2020 Young Scientist Award in Agra, India, and the BASE Young Scientist Award during an international conference organised by BASE- Biology, Agriculture, SciTech, and Agriculture Congress Association (ICEGTABPS- 2021) […]