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Introduction to Probability Theory II

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Introduction to Probability Theory II

Exercise 4, Autumn 2007

1. Show that the characteristic function of distribution Exp(λ) is φ, where

φ(t)=

1−it λ

1

for every t∈R.

2. Determine the characteristic function of random variable X, when it's density function is f, where

f(x)=1/2e−|x| for every x∈R.

3. Let X and Y be independent random variables and X ∼ Y. Is it possible that

X+Y∼2X?

4. {X1,X2, . . . ,X10}is a sample from distributionTas(0,1). Approximate prob- ability P{

P10

k=1Xk >7} using normal approximation.

5. The total price of customers purchases is rounded to nearist 5cents. The rounding error in single customer's purchases is a random variable whose values are −2, −1, 0, 1 and 2, each with probability 1/5. Let X be the loss caused by 10 000customers. Calculate probability thatP{X>2¤} to three decimal places using normal approximation.

6. A book has 500 pages. A typesetting method produces 1000 errors in a book of this size on average.

a) Use Poisson distribution to calculate the probability that single page has less than 2 errors.

b) Let X be the number of pages that have less than 2 errors. Calculate the probability P{X>215} using normal approximation.

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