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Vinayaka Missions University 2009 B.Sc Computer Science COMPUTER ORIENTED NUMERICAL AND STATISTICAL - Question Paper

Wednesday, 22 May 2013 09:50Web

COURSE CODE – 1050106
UG DEGREE exam – AUG 2009
BCA / B. SC (CS)
COMPUTER ORIENTED NUMERICAL AND STATISTICAL
(For Candidates admitted from calendar 2007 onwards)
Time: three Hours Max. Marks: 75
part – A
ans all the ques.
1. Define Linear formula
2. What is Gauss elimination method
3. What is Jordan method
4. Define Interpolation
5. Define Integration
6. Define Predictor
7. Define correlation
8. Define Rank correlation
9. Define Regression
10. What is random variable
11. Define Bash forth method
12. Define Probability distribution
13. Define method of lowest squares
14. What is Moment generating functions
15. Define Euler method
part – B
ans any 5 ques.
16. a). define Linear formula
(Or)
b). Solve the equations X+Y=2 and 2X+3Y=5 by using gauss Jordan method
17. a). obtain the 1st and 2nd derivatives of the function tabulated beneath at x=1.5
X 1.5 2.0 2.5 3.0 3.5 4.0
(X) 3.375 7.0 13.625 24.0 38.875 59.0
(Or)
b). define Newton’s Forward Interpolation
18. a). discuss Taylor series
(Or)
b). Determine the coefficient of correlation for the subsequent data
Height (x) 48 49 50 51 52 53 54 55 56 57
Weight (y) 100 105 104 107 111 115 125 130 132 135
19. a). compute rank correlation for the subsequent data
X 83 46 51 65 22 33 25 20 40
Y 125 153 108 168 140 123 150 185 190
(Or)
b). discuss linear regression
20. a). explain Random variables
(Or)
b). discuss characteristics of normal distribution
part – C
21. Explain in detail the Jordan method
22. Differentiate ranging from Correlation and Regression
23. Explain probability distributions
24. Explain Runge Kutta Methods
25. (a) obtain the coefficient of correlation beneath the heights of Fathers and sons from the subsequent data

Heights of dad (in inches) (x) 65 66 67 68 69 70 71
Heights of sons (in inches) (y) 67 68 66 69 72 72 69

(b) compute the regression formula of the subsequent data

X 50 60 50 60 80 50 80 40 70
Y 30 60 40 50 60 30 70 50 60




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