The aim of this course is to deliver the applicable knowledge about Statistics and Experimental Design, which can apply in different fields of study and to develop a skills on the data collection from a designed experiment, description measures of data, interpretation of results, and decision making.

1. To impart basic and applied knowledge about Experimental Design and its applications in different fields.
2. To impart skills on the data collection, description measures of data interpretation of results, and decision making

Contents

Principles of Design of Experiments. Analysis of variance and its assumptions. Cochran theorem. Fixed, random and mixed effect models.Effect of violation of assumptions and transformations.Completely Randomized, Randomized Complete Block, Latin square,Graeco-Latin square and cross-over designs. Missing observations. Relative efficiency of designs. Estimation of mean squares and their expectations.Multiple Comparisons.Analysis of covariance in CR, RCB designs. Estimation of missing values in analysis of covariance.

Reading Texts:

1. Montgomery, D.C. (2012). “Design and Analysis of Experiments”, 8th ed., John Wiley, New York.
2. Clarke, G. M., & Kempson, R. E. (1994). “Introduction to the Design and Analysis of Experiments”. Wiley.

Distribution of Marks:
Mid Exam:           30

Final exam:         50
Sessional (Assignment,Presentation,Participation,Attendance,Quizes)    20
Scheduled on:      

BS V Regular  : Monday (11:00- 12:30)        Tuesday (11:00- 12:30)             Wednesday  (11:00- 12:00)

BS V SS          : Tuesday (12:30-2:00)          Wednesday (12:30-2:00)            Thursday (12:30-1:30)