LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
SIXTH SEMESTER – APRIL 2012
ST 6603/ST 6600 – DESIGN & ANALYSIS OF EXPERIMENTS
Date : 16-04-2012 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
PART – A
Answer ALL the questions: (10 x 2 = 20 marks)
- Define: Linear contrast and give an example of the same.
- Write down the mathematical model of a LSD.
- Mention how the principle of randomization is achieved in a completely randomized design.
- Give the skeleton ANOVA table for one-way classification.
- State the number of degrees of freedom associated with error in the analysis of 6 x 6 LSD.
- When do you recommend RBD?
- Write all possible treatment combinations in a design.
- Mention the difference between Partial and Total confounding.
- Write the factorial effect corresponding to in design.
- Write down all possible first order interactions in a 23 experiment.
PART – B
Answer any FIVE Questions: (5 x 8 = 40 marks)
- Write a descriptive note on Local Control.
- Obtain the Least Squares Estimators of the parameters of a RBD.
- Describe the linear model suitable for one way classified data and estimate the parameters in it.
- Derive the formula for estimating the missing value in a RBD when one observation is missing.
- Present the ANOVA table for a k x k LSD and explain the test for equality of treatment effect.
- Explain Yates method of computing in the case of a design.
- Explain the terms: Quadratic Effect and Linear Effect in the case of a factorial design involving two factors with three levels each.
- State and prove Fisher’s inequality associated with BIBD.
(P.T.O)
PART – C
Answer any TWO Questions: (2 x 20 =40 marks)
- Describe in detail the preparation of layout for a Randomized Block Design and the steps involved in its analysis.
- Describe fully the analysis of a factorial design.
- Explain Balanced Incomplete Block Design and describe in detail the intra-block analysis for the same.
- (a) Explain the analysis of experimental design wherein the highest order interaction effect
is totally confounded.
(b) Explain : (i) Duncan’s Multiple Range Test (ii) Cochran’s Theorem.
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