GTU Information Technology (Semester 5)
Computer Oriented Statistical Methods
June 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 Absolute error, Relative error, Percentage error. The approximate solution of a problem is 3.436. If the absolute error in the solution is less than 0.01 then find the interval within which the exact solution lies.
7 M
1 (b) Show that the False Position method is linearly convergent.
7 M

2 (a) Find all the roots of the equation x4+x3+2x2+x+1=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 x3-6x2+11x-6=0 using Graeffe's method squaring thrice.
7 M
2 (c) Solve the non linear system of equations xy=1,x2+4x2=5 using Newton Raphson method.
7 M

3 (a) Derive Newton's divided difference formula and use it to find the interpolating polynomial from the following table
x 1 2 7 8
f(x) 1 5 5 4
7 M
3 (b) Show that 1+Δ=E=ehD.
7 M
3 (c) Obtain the cubic spline for every subinterval from the following data
x 0 1 2 3
f(x) 1 2 33 244
7 M
3 (d) Fit a curve of the type y= abx to the following data.
x 50 450 780 1200 4400 4800 5300
y 28 30 32 36 51 58 69
7 M

4 (a) Solve \[\dfrac{dy}{dx}=x^{2}y\] with y(0)=1 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 \[\dfrac{dy}{dx}=\dfrac{y^{2}-x^{2}}{y^{2}+x^{2}}\] y(0)=1 for x=0.2,0.4 by Runge-Kutta method.
7 M
4 (c) Derive the formula of Trapezoidal rule and use it to evaluate \[\int_{0}^{1}\limits exp(-x^{2})dx\] with n=10.
7 M
4 (d) Explain ill conditioned system of equations and solve the following system of equations using Gauss Elimination method.
2x1+x2+2x3+x4=6
6x1-x2+6x3+12x4=36
4x1+3x2+3x3-3x4=1
2x1+2x2-x3+x4=10.
7 M

5 (a) Find the first four moments of the following data about assumed mean 112.45 and actual mean.
Class limit 100-104.9 105-109.9 110-114.9 115-119.9 120-124.9
Frequency 7 13 25 25 30
7 M
5 (b) Find the correlation coefficient from the following data.
X 50 50 55 60 65 65 65 60 60 50
Y 11 13 14 16 16 15 15 14 13 13
7 M
5 (c) Find both Regression lines for the data.
x 1 2 3 4 5 6 7 8 9 10
y 10 12 16 28 25 36 41 49 40 50
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



More question papers from Computer Oriented Statistical Methods
SPONSORED ADVERTISEMENTS