GTU Information Technology (Semester 5)
Computer Oriented Statistical Methods
December 2014
Total marks: --
Total time: --
INSTRUCTIONS
(1) Assume appropriate data and state your reasons
(2) Marks are given to the right of every question
(3) Draw neat diagrams wherever necessary


1 (a) Define Truncation error, Round off error, Inherent error. Find the relative error and percentage error if 0.005998 is truncated to three decimal digits.
7 M
1 (b) Show that the Successive approximation method is linearly convergent.
7 M

2 (a) Find all the roots of the equation x3+x2-x+2=0 using Lin-Bairstow method. Start with the initial factor x2-0.9x+0.9.
7 M
2 (b) Find all the roots of the equation x3-2x2-5x+6=0 using Graeffe's method squaring thrice.
7 M
2 (c) Solve the non linear system of equations xy=1,x2+4y2=5 using Newton- Raphson method.
7 M

3 (a) Derive the Recurrence relation for Chebyshev polynomials and using it define.
T2(x),T3(x) and T4(x).
7 M
3 (b) Derive Lagrange's interpolation formula and using inverse interpolation find the value of x corresponding to y=12 from the following data.
x 1.2 2.1 2.8 4.1 4.9 6.2
f(x) 4.2 6.8 9.8 13.4 15.5 19.6
7 M
3 (c) Obtain the cubic spline for every subinterval from the following data
x 1 2 3 4
f(x) 1 2 5 11
7 M
3 (d) The pressure and volume of a gas are related by the equation pVa=c . Fit this curve to the following data.
p 0.5 1.0 1.5 2.0 2.5 3.0
V 1.62 1.0 0.75 0.62 0.52 0.46
7 M

4 (a) Solve \[\dfrac{dy}{dx}=2y+3e^{x}\] with y(0)=0 for x=0.1,0.2,0.3 by Taylor's series method. Extend the solution to x=0.4 by Milne's method.
7 M
4 (b) Solve \[\dfrac{dy}{dx}=xy+y^{2}\] with y(0)=1 for x=0.1,0.2,0.3 by Runge-Kutta method.
7 M
4 (c) Derive the formula of Simpson's 1/3 rd rule and use it to evaluate \[\int_{0}^{6}\limits \dfrac{1}{1+x}dx\]. Hence obtain the value of log e 7 .
7 M
4 (d) Explain ill conditioned system of equations and solve the following system of equations using Gauss - Jacobi method.
3x+20y-z=-18, 2x-3y+20z=25, 20x+y-2z=17.
7 M

5 (a) Find the first four moments of the following data about assumed mean 25 and actual mean.
Class limit 0-10 10-20 20-30 30-40
Frequency 1 3 4 2
7 M
5 (b) Find the correlation coefficient from the following data
X 307 259 341 317 274 416 267 320 274 336
Y 80 75 90 74 75 110 70 85 88 78
7 M
5 (c) Find both Regression lines for the data
  x y
Mean 60 67.5
Standard Deviation 15 13.5

The correlation coefficient is 0.5.
7 M
5 (d) Calculate 7-yearly moving averages for the following data showing the number of students of an engineering college clearing GATE.
Year Number of students Year Number of students
1999 23 2007 9
2000 26 2008 13
2001 28 2009 11
2002 32 2010 14
2003 20 2011 12
2004 12 2012 9
2005 12 2013 3
2006 10 2014 1
7 M



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