Probability Theory: M. Phil. in Statistical Science Document, Exams of Statistics

Information from a probability theory class for an m. Phil. In statistical science program. It includes three questions covering topics such as the probability of dice rolls, chebyshev's inequality, the borel-cantelli lemma, and martingales. Students are expected to find probabilities, prove mathematical inequalities, and apply the optional stopping theorem.

Typology: Exams

2012/2013

Uploaded on 02/26/2013

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M. PHIL. IN STATISTICAL SCIENCE
Thursday 27 May 2004 1.30 to 3.30
PROBABILITY
Attempt THREE questions.
There are five questions in total.
The questions carry equal weight.
You may not start to read the questions
printed on the subsequent pages until
instructed to do so by the Invigilator.
pf3

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M. PHIL. IN STATISTICAL SCIENCE

Thursday 27 May 2004 1.30 to 3.

PROBABILITY

Attempt THREE questions. There are five questions in total.

The questions carry equal weight.

You may not start to read the questions

printed on the subsequent pages until

instructed to do so by the Invigilator.

1 You throw 6n dice at random.

a) Find the probability that each number appears exactly n times.

b) Using Stirling’s formula, show that this probability is approximately Cn−^5 /^2 for some constant C to be found.

2 State and prove Chebyshev’s inequality.

State and prove the first Borel-Cantelli lemma.

Let X 1 , X 2 ,... , be independent identically distributed random variables with EX = a and VarX = σ^2 < ∞. Denote Sn =

∑n j=1 Xj^. Show that^ N^

− (^2) SN 2 → a (a.s.) as

N → ∞.

3 Suppose that S and T are independent exponential random variables with means 1 /α and 1/β respectively.

a) Find the distribution of min{S, T }.

b) Find the probability that S ≤ T.

c) Show that the two events {S ≤ T } and

min{S, T } ≥ t

are independent.

4 Let X 1 , X 2 ,... , be a sequence of independent identically distributed random variables with Pr(X = 1) = p = 1 − Pr(X = −1) and let Sn be the generated asymmetric simple random walk starting at 0, i.e., Sn =

∑n j=1 Xj^.^ Suppose^ p^ >^1 /2 and let

φ(x) =

1 −p p

)x .

a) Show that φ(Sn) is a martingale.

b) Denote Tx = inf

n : Sn = x

. State the Optional Stopping Theorem and use it to show that for a < 0 < b,

Pr

Ta < Tb

φ(b) − φ(0) φ(b) − φ(a)

c) For a < 0, show that Pr

minn Sn ≤ a

= Pr(Ta < ∞) =

1 −p p

)−a .

PROBABILITY