LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
SECOND SEMESTER – APRIL 2012
ST 2502/ST 2501/ST 2500 – STATISTICAL MATHEMATICS – I
Date : 16-04-2012 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
PART – A
Answer ALL the Questions: (10 x 2 = 20 marks)
- Define monotonically decreasing sequences.
- Define random variable.
- Define divergence sequences.
- What is meant by linear dependence?
- 5. Find the trace of the matrix A =
- State Rolle’s Theorem.
- The probability distribution of a random variable X is: Determine the constant k.
- Define symmetric matrix. Give an example.
- Find the determinant of the matrix
- Define stochastic matrix.
PART – B
Answer any FIVE questions: (5 x 8 = 40 marks)
- The diameter, say X, of an electric cable, is assumed to be continuous random variable with p.d.f
- i) Check that the above is a p.d.f. ; ii) Obtain an expression for the c.d.f of x ;
iii) Compute ; iv) Determine the number K such that P(X < k) = P(X > k)
- Prove that a convergent sequence is also bounded.
- By using first principles, show that the sequences , where, n = 1, 2, . . . ,
converges to .
- Show that differentiability of a function at a point implies continuity. What can you say about the
converse? Justify your answer.
- State and prove Lagrange’s Mean Value Theorem. (P.T.O.)
- Obtain the Maclaurin’s Series expansion for log(1+x), for – 1 < x < 1 .
- If the joint distribution function of X and Y is given by
- a) Find the marginal densities of X and of Y ; b) Are X and Y independent?
- c) Find P(X 1 Y ;
- Find inverse of the matrix
PART – C
Answer any TWO questions: (2 x 20 = 40 marks)
- Examine the validity of the hypothesis and the conclusion of Rolle’s theorem for the function f defined in in each of the following cases:
- i) , a = 0, b = 2
- ii) , a = -3, b = 0
- Two fair dice are thrown. Let X1 be the score on the first die and X2 the score on the second die. Let Y denote the maximum of X1 and X2 i.e. max(X1, X2).
- a) Write down the joint distribution of Y and X1.
- b) Find E (Y), Var (y) and Cov (Y, X1).
- Suppose that two-dimensional continuous random variable (X, Y) has joint probability density function given by
- i) Verify that
- ii) Find P (0 < X <, P(X+Y < 1), P(X > Y), P(X < 1 | Y < 2)
- (a) Find the rank of .
(b) Verify whether the vectors (2, 5, 3), (1, 1, 1) and (4,–2, 0) are linearly independent. (10 +10)
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