Code No. 2057

FACULTY OF ENGINEERING B.E. 2/4 (ECE / M/ P/AE / CSE) II – Semester (Main) Examination, April / May 2013 Subject : Mathematics – IV Time : 3 hours

Max. Marks : 75

Note: Answer all questions from Part-A. Answer any FIVE questions from Part-B. PART – A (25 Marks) 1. From the following functions, which is analytic at z = 0. a) |z|2

c) z

b) 1/z

(2)

d) none of above

dz , where c is the triangle with vertices at 0, a+bi -a+bi, 0
2. Find

z

2

(3)

3. Expand Cotz in Taylor’s series about the point z = 0.

(2)

4. State whether the following are true or false. 1 a) f ( z )  has essential singularity at z = 0, and z = 2 z (2  z )

(3)

b) f ( z ) 

z  sin z has removable singularity at z = 0. z2 1 2

c) f ( z )  z e z

has no singularity at z = 0.

5. Identify the continuous distributions from the following. a) Normal distribution c) Poisson distribution

(2)

b) Gamma distribution d) Binomial distribution

6. The p.d.f. of a continuous random variable X is given by

  e   x , x>0 f ( x)   0, otherwise

(3)

where λ > 0. Find mean and variance of X.

7. Write the applications of F-test.

(2)

8. The normal distribution is a limiting form of binomial distribution if

(3)

a) n →∞ , p → 0 b) n → 0 , p → q neither p or nor q is small.

c) n → ∞ , p → n

d) n → ∞ and

9. Write normal equations to fit the straight line y = a + bx using method least squares.

(2)

10.Write the equations of lines of regression y on x and x on y.

(3) ..2

Code No. 2057

-2PART – B (50 Marks) 11.a) If f(z) is regular function of z then prove that  2 2   2  2  | f ( z ) | 2  4 | f ( z ) | 2 . y   x

(5)

b) State and prove Cauchy’s integral theorem.

(5)

12.a) Define Bilinear transformation. Find the bilinear transformation which maps the points z = 1, i, -1 into the points w = 0, 1, ∞. b) Show that

2

cos 2 2 a 2 2 0 1  2a cos   a 2 d  1  a 2 ,  a  1 .

(5)

13.a) Find the mean and variance of the uniform probability distribution given by 1 f ( x)  for x = 1,2,......n. n b) For the following probability distribution x: -3 -2 -1 P(x) : 0.001 0.01 0.1

(5)

0 k

1 0.1

2 0.01

(5)

(5)

3 0.001

Find k and E(x2 + 2x + 5). 14.a) Find the mean and variance of Gamma distribution.

(5)

b) The nicotine contents in milligrams in two samples of tobacco were found to be as follows: (5) Sample A : 24 27 26 21 25 Sample B : 27 30 28 31 22 36 Can it be said two samples came from same normal population. Test at 5% level of significance. 15.a) Fit a parabola y = a + bx + cx2 to the following data x: 2 4 6 8 y: 3.07 12.85 31.47 57.38

10 91.29

b) Find the angle between the two regression lines. 16.a) Find the analytic function whose imaginary part is

(5)

(5)

2 sinx siny cos2x + cosh2y

(5)

b) Find the correlation coefficient between x and y for the given values. Find also the two regression lines. (5) x: 1 2 3 4 5 6 7 8 9 10 y: 10 12 16 28 25 36 41 49 40 50 17.a) Expand f(z) =

z 2 - 6z - 1 in the region 3 < |z + 2| < 5. (z - 1)(z - 3)(z + 2)

(5)

b) For the following Poisson distribution data, test its goodness of fit at level of significance 0.05. x: y:

0 419

1 352

2 154 ******

3 56

4 19

(5)

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