MU Electronics Engineering (Semester 4)
Applied Mathematics 4
May 2012
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) Let X be a continuous random variable with probability distribution:

Find K and P(1 ≤ X ≤ 3)
5 M
1 (b) A relation R is the set of integers is defined by xRy if and only if x<y+1. Examine whether R is: i) Reflective
ii) Symmetric
iii) Transitive
5 M
1 (c) Find the eigen values and eigen vectors corresponding to following matrix:
5 M
1 (d) Find Laurent's series for -
5 M

2 (a) Seven dice are thrown 729 times. How many times do you expect at least four dice to show three or five?
7 M
2 (b) Evaluate the following:
7 M
2 (c) Show that the set of matrices

a, b ∈ z form an integral domain. Is it a field?
6 M

3 (a) Evaluate ∮c tan z dz where C is:
(i) is the circle |z|=2
(ii) is the circle |z|=1
7 M
3 (b) "Is the following function injective, surjective?
f : R → R, f( x ) = 2x2 + 5x - 3"
7 M
3 (c) Fit a binomial distribution to the following data:
X 0 1 2 3 4
Frequency 12 66 109 59 10
6 M

4 (a) "If X is a normal variate with mean 10 and standard deviation 4, find:
i) P( | X - 14 | < 1)
ii) P( 5 ≤ X ≤ 18 )
iii) P( X ≤ 12)"
7 M
4 (b) Let (G,*) be a group. Prove that G is an Abelian group if and only if (a * b)2 = a2 * b2.Where a2 stands for a * a.
7 M
4 (c) Using Poisson distribution find the approximate value of: 300C2(0.02)2(0.98)298 + 300C3(0.02)3(0.98)297.
6 M

5 (a) Show that the matrix
\(A=\begin{bmatrix} 1 &-6 &-4 \\0 &4 &2 \\0 &-6 &-3 \end{bmatrix}\)
is similar to a diagonal matrix. Also find the transforming matrix and the diagonal matrix
7 M
5 (b) A die was thrown 132 times and the following frequencies were observed:
No. obtained : 1 2 3 4 5 6 Total
Frequency : 15 20 25 15 29 28 132

7 M
5 (c) If C is a circle |z| = 1, using the integral

where K is real, show that
6 M

6 (a) Let A = {1, 2, 3, 5, 6, 10, 15, 30} and R be the relation 'is divisible by'. Obtain the relation matrix and draw the Hasse diagram.
7 M
6 (b) A certain injection administered to 12 patients resulted in the following changes of blood pressure:
5, 2, 8, -1, 3, 0, 6, -2, 1, 5, 0, 4.
Can it be concluded that the injection will be in general accompanied by an increase in blood pressure?
7 M
6 (c) If X1 has mean 5 and variance 5, X2 has mean -2 and variance 3. If X1 and X2 are independant random variables, find -
i) E(X1 + X2), V(X1 + X2)
ii) E(2X1 + 3X2 - 5), V(2X1 + 3X2 - 5).
6 M

7 (a) A random variable X has the following probability distribution:
X: -2 3 1
P (X = x): 1/3 1/2 1/6
Find:
(i) Moment Generating function
(ii) First two raw moments
(iii) First two central moments
7 M
7 (b) Verify Cayley Hamilton Theorem for matrix A and hence find A-1 where
7 M
7 (c) A random sample of 50 items gives the mean 6.2 and standard deviation 10.24. Can it be regarded as drawn from a normal population with mean 5.4 at 5% level of significance?
6 M



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