3. (a) What is (rc) contingency table? Construct (44) contingency table. 2

(b) In a study of relation between blood type and disease, a sample of 300 persons 2.5

with peptic ulcer, gastric ulcer and control persons free from disease classified as blood type (O, A, B) are given below:

Blood Type	Types of disease
	Peptic ulcer	Gastric ulcer	Control
O	55	43	48
A	37	47	43
B	8	10	9

Test whether there is any association between blood group and disease at = 0.05.

(c) What is data analysis? Discuss some important methods for analyzing 2.5

multivariate data. Explain how it differs from univariate analysis.

(d) A sample of 10 BBA (Female) students is selected at random and their weight 3

(kg), height (inch) and age (yrs) are measured. A 3-variable regression plane is to be established for the purpose prediction of height.

Analysis of Variance

Sources of Variation	d.f.	S.S	M.S	Cal F	Tab F (5%)
Regression		405.6
Error
Total		650.9

Estimates of the coefficients are found to be = 7.24, = 0.81, = 1.32, (i) Complete the analysis of variance table and comment.

(ii) Test whether regression shows significant.

(iii) Calculate 100 and comment.

3. (a) What is (rxc) contingency table? Construct (4x4) contingency table. 2 (b) In a study of relation between blood type and disease, a sample of 300 persons 2.5 with peptic ulcer, gastric ulcer and control persons free from disease classified as blood type (O, A, B) are given below: Blood Type Peptic ulcer Types of disease Gastric ulcer Control 0 55 43 48 A 37 47 43 B 8 10 9 Test whether there is any association between blood group and disease at a= 0.05. (c) What is data analysis? Discuss some important methods for analyzing 2.5 multivariate data. Explain how it differs from univariate analysis. (d) A sample of 10 BBA (Female) students is selected at random and their weight 3 3 (kg), height (inch) and age (yrs) are measured. A 3-variable regression plane is to be established for the purpose prediction of height. Analysis of Variance Sources of df. S.S M.S Cal F Tab F Variation (5%) Regression 405.6 Error Total 650.9 Estimates of the coefficients are found to be Bo = 7.24, B. = 0.81, B2 = 1.32, (1) Complete the analysis of variance table and comment. (ii) Test whether regression shows significant. (iii) Calculate 100R and comment