LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
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THIRD SEMESTER – November 2008
ST 3500 – STATISTICAL MATHEMATICS – II
Date : 06-11-08 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
SECTION – A |
Answer ALL the Questions (10 x 2 = 20 marks)
- Define lower sum of a function corresponding to a partition of an interval [a, b].
- State the linearity property of Riemann integrals.
- Define probability density function (p.d.f.).
- What is an improper integral? Give an example.
- Define absolute convergence of an improper integral.
- Is the integral dx convergent or divergent?
- Change the order of integration in the double integral
- Define a symmetric matrix.
- Show that inverse of a non-singular matrix is unique.
- Define characteristic root and vector of a matrix.
SECTION – B |
Answer any FIVE Questions (5 x 8 = 40 marks)
- If P is any partition of [a, b], show under usual notations that
m ( b – a) ≤ L (P , f ) ≤ U(P , f ) ≤ M ( b – a)
- Show that if f is R-integrable on [a, b], then | f | is integrable on [a, b].
- If f(x) = cx , 0 < x < 1, is a p.d.f. find ‘c’ and the mean and variance of the distribution.
- Discuss the convergence of the improper integral dx (where a > 0) by varying ‘p’.
- Evaluate ∫ ∫ xy dy dx over the positive quadrant of the circle x2 + y2 = a2
- Define moment generating function of a bivariate distribution. Show how the means, variances and covariance can be found from it.
- If λ is the characteristic root of a matrix A, show that λn is a characteristic root of An and both have the same associated characteristic vector. Also, show that one can always find a normalized (unit) characteristic vector associated with a characteristic root.
- Define (i) Hermitian matrix, (ii) Idempotent matrix, (iii) Scalar matrix, (iv) Orthogonal matrix
SECTION – C |
Answer any TWO Questions (2 x 20 = 40 marks)
- State and prove the First and Second Fundamental Theorems of Integral Calculus.
- (a) State and prove the Comparison Test for convergence of an improper integral of any one kind.
(b) Test the convergence of the integrals: (i) dx (ii) dx
(10 +10)
- Let f(x, y) = x + y, 0 < x, y < 1, be the joint p.d.f. of (X, Y). Find the joint distribution function. Also, find the means, variances and covariance.
- (a) State and prove Cayley-Hamilton Theorem.
(b) Find the inverse of the following matrix using the above theorem:
(10 +1 0)
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