LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
B.Sc. DEGREE EXAMINATION – STATISTICS
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SECOND SEMESTER – APRIL 2007
ST 2500 – STATISTICAL MATHEMATICS – I
Date & Time: 20/04/2007 / 1:00 – 4:00 Dept. No. Max. : 100 Marks
SECTION A
Answer ALL questions. Each carries 2 marks [10×2=20]
- Define a bounded function and give an example.
- Define a monotonic sequence and give an example.
- What is ‘permutation of indistinguishable objects’? State its value in factorial notation.
- Define the limit of a sequence and give an example.
- If A and B are independent events, show that A and Bc are independent.
- What are the supremum and infinum of the function f(x) = x – [x], x €R ?
- Find noÎN, such that |(n/n+2) -1| < 1/3 .
- Define probability mass function (p.m.f) of a discrete random variable and state its properties.
- Define Moment Generating Function and state its uses.
- Is the following a P.G.F: F(s) = s/ (3-s) ?
SECTION B
Answer any FIVE questions. Each carries 8 marks [5×8=40]
- State and prove the Addition Theorem of Probability for two events. Extend it for three events.
- Discuss the convergence of the series
- A and B play a game in which their chances of winning are in the ratio 3 :2 Find A’s chance of winning at least 2 games out of 5 games.
- Find the sum of the series .
- State and prove Baye’s theorem.
- Investigate the extreme values of the function f(x) = 2x5 -10X4 +10x3 + 8
- Identify the distribution for which is the P.G.F
- Let X be a random variable with the probability mass function
x: 1 2 3
P(x): 1/2 1/4 1/4 Find P.G.F and hence Mean and Variance
SECTION C
Answer any TWO questions. Each carries 20 marks [2×20=40]
19 [a] Let Sn = 1 + , n=1,2,3,…prove that Lim Sn exists and lies between
2 and 3. [12]
[b] Let Sn = and tn = , verify that the limit of the difference of
two convergent sequences is the difference of their limits. [8]
20 Discuss the convergence of the Geometric series
for possible variations in x [12]
[b] Let X be a random variable with the following distribution:
x : -3 6 9
P(x): 1/6 ½ 1/3
Find [i] E(X) [ii] E(X2) [iii] E(2X+1)2 [iv] V(X) [8]
21 [a] What is the expectation of the number of failures preceding the first success
in an infinite series of independent trials with constant probability ‘p’ of
success in each trial.
[b] Let X be a random variable with the probability mass function
x: 0 1 2 3 ….
P(x): ½ (½)2 (½)3 (½)4 …
Find the M.G.F and hence Mean and Variance
22 [a] Let X be a random variable which denotes the product of the numbers on
the upturned faces, when two dice are rolled:
[i] Construct the probability distribution
[ii] Find the probability for the following :
1) the product of the faces is more than 30
(2) the product of the faces is maximum 10
(3) the product of the faces is at least 9 and at most 24
[iii] Find E(X)
[b]Define Poisson distribution. Find the moment generating function (m.g.f.).Hence find the
mean and the variance.
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