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Applied Mathematics 4 - May 2016
Computer Engineering (Semester 4)
TOTAL MARKS: 80
TOTAL TIME: 3 HOURS
(1) Question 1 is compulsory.
(2) Attempt any three from the remaining questions.
(3) Assume data if required.
(4) Figures to the right indicate full marks.
1(a) Find the Eigen values of A2 + 2I, where $ A=\begin{bmatrix}
1 & 0 & 0\\\\
2 & -2 & 0\\\\
3 & 5 & 3
\end{bmatrix} $ and I is the Identity matrix of order 3.(5 marks)
1(b) Evaluate the line integral $ \int ^{1+l}_0(x^2+iy)dz $ along the path y = x.(5 marks)
1(c) If x is a continuous random variable with the probability density function given by $$\left\{\begin{matrix}
k(x-x^3) & 0\leq x\leq 1\\
0 & \text{otherwise}
\end{matrix}\right.$$
Find i) k ii) the mean of the distribution.(5 marks)
1(d) Compute Spearman's rank correlation coefficient from the following data
X | 18 | 20 | 34 | 52 | 12 |
Y | 39 | 23 | 35 | 18 | 46 |
Maximum z = 10x1+4x2-2x21-x22
Subject to 2x1+x2≤5 ; and x1, x2≥0(6 marks) 3(b) Fit a binomial distribution to the following data
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
F | 5 | 18 | 28 | 12 | 7 | 6 | 4 |
Maximize z = 4x1+x2+3x3+5x4
Subject to
-4x1+6x2+5x3+4x4≤20
-3x1-2x2+4x3+x4≤10
-8x1-3x2+3x3+2x4≤ 20
x1, x2, x3, x4 ≥0(6 marks) 4(b) If a random variable X follows the Poisson distribution such that P(x = 1) = 2P(X=2), find the mean, the variance of the distribution and p(X=3)(6 marks) 4(c) Expand $ f(e)=\dfrac{1}{z(z-2)(z+1)} $ in the regions
i) |z| < 1, ii) 1 < |z| < 2, iii) |z| > 2(8 marks) 5(a) Evaluate using Cauchy's Residue theorem $ \oint _c \dfrac{2z-1}{z(2z+1)(z+2)}dz $ where c is |z| = 1.(6 marks) 5(b) A certain administered to each of 12 patients resulted in the following change in blood pressure:
5, 2, 8, -1, 3, 0, -2, 1, 5, 0, 4, 6
Can it be concluded that the stimulus will increas the blood pressure (at 5% level of significance)?(6 marks) 5(c) Solve the following LPP using the Dual Simplex Method
Maximise z = -3x1 - 2x2
Subject to
x1 + x2 ≥ 1
x1 + x2 ≤ 7
x1 + 2x2 ≥ 10
x2 ≤ 3
x1, x2 ≥ 0(6 marks) 6(a) Find the equations of lines of regression for the following data
x | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
y | 11 | 14 | 14 | 15 | 12 | 17 | 16 |
Round and Yellow |
Wrinkled and yellow |
Round and green |
Wrinkled and green |
Total |
315 | 101 | 108 | 32 | 556 |
theory predicts that the frequencies should be in proportions 9:3:3:1.
Examine the correspondence between theory and experiment using Chi-square Test(8 marks)