Math 501 - Problem Assignment 5: Probability Theory, Assignments of Probability and Statistics

A problem assignment for a university course in probability theory, math 501, offered at the university of utah during spring 2006. The assignment includes various problems and theoretical questions related to probability theory, such as finding probabilities, expected values, and variances of random variables, and proving properties of poisson random variables.

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Uploaded on 08/30/2009

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Reading and Problem Assignment #5
Math 501–1, Spring 2006
University of Utah
Read Chapter 4 (expectations). Start reading Chapter 5 (continuous random vari-
ables).
The following are borrowed from your text.
Problems:
1. A gambling book recommends the following ā€œwinnin strategyā€ for the game of roulette:
It recommends that the gambler bet $1 on red. If red appears (this has probability
18/38), then the gambler should take her $1 profit and quit. Else, she should make
additional $1 bets on red on each of the next two spins of the roulette wheel, and then
quit. Let Xdenote the gambler’s winnings when she quits.
(a) Find P{X > 0}.
(b) Are you convinced that the strategy is indeed a ā€œwinningā€ strategy? Explain
your answer.
(c) Compute EX .
2. One of the numbers 1 through 10 is chosen at random. You are to try and guess the
number chosen by asking questions with ā€œyes-noā€ answers. Compute the expected
number of questions that you need to ask in each of the following two cases:
(a) Your ith question is to be, ā€œIs it i?ā€, for i= 1, . . . , 10.
(b) With each question you try to eliminate one-half of the remaining numbers, as
nearly as possible. [E.g., ā€œIs it greater than or equal to 5?ā€, etc.]
3. A person tosses a fair coin until a tail appears for the first time. If ā€œtailā€ appears on
the nth flip, then the person wins 2ndollars. Let Xdenote the person’s winnings.
Show that EX =āˆž. This is known as the ā€œSt.-Petersbourg paradox.ā€
4. A box contains 5 red and 5 blue marbles. Two marbles are withdrawn randomly. If
they are the same color, then you win $1.10; if they are different colors, then you win
āˆ’$1.00 (i.e., you lose one dollar). Compute:
(a) the expected value of the amount you win;
(b) the variance of the amount you win.
Theoretical Problems:
1. Let Xbe such that P{X= 1}=pand P{X=āˆ’1}= 1 āˆ’p. Find a constant c6= 1
such that E[cX] = 1.
2. Prove that if Xis a Poisson random variable with parameter Ī», then for all n≄1,
E[Xn] = Ī»E[(X+ 1)nāˆ’1].
Use this to compute EX ,E[X2], VarX, and E[X3].

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Reading and Problem Assignment # Math 501–1, Spring 2006 University of Utah

Read Chapter 4 (expectations). Start reading Chapter 5 (continuous random vari- ables).

The following are borrowed from your text.

Problems:

  1. A gambling book recommends the following ā€œwinnin strategyā€ for the game of roulette: It recommends that the gambler bet $1 on red. If red appears (this has probability 18 /38), then the gambler should take her $1 profit and quit. Else, she should make additional $1 bets on red on each of the next two spins of the roulette wheel, and then quit. Let X denote the gambler’s winnings when she quits. (a) Find P {X > 0 }. (b) Are you convinced that the strategy is indeed a ā€œwinningā€ strategy? Explain your answer. (c) Compute EX.
  2. One of the numbers 1 through 10 is chosen at random. You are to try and guess the number chosen by asking questions with ā€œyes-noā€ answers. Compute the expected number of questions that you need to ask in each of the following two cases: (a) Your ith question is to be, ā€œIs it i?ā€, for i = 1,... , 10. (b) With each question you try to eliminate one-half of the remaining numbers, as nearly as possible. [E.g., ā€œIs it greater than or equal to 5?ā€, etc.]
  3. A person tosses a fair coin until a tail appears for the first time. If ā€œtailā€ appears on the nth flip, then the person wins 2n^ dollars. Let X denote the person’s winnings. Show that EX = āˆž. This is known as the ā€œSt.-Petersbourg paradox.ā€
  4. A box contains 5 red and 5 blue marbles. Two marbles are withdrawn randomly. If they are the same color, then you win $1.10; if they are different colors, then you win āˆ’$1.00 (i.e., you lose one dollar). Compute: (a) the expected value of the amount you win; (b) the variance of the amount you win.

Theoretical Problems:

  1. Let X be such that P {X = 1} = p and P {X = āˆ’ 1 } = 1 āˆ’ p. Find a constant c 6 = 1 such that E[cX^ ] = 1.
  2. Prove that if X is a Poisson random variable with parameter Ī», then for all n ≄ 1,

E[Xn] = Ī»E[(X + 1)nāˆ’^1 ].

Use this to compute EX, E[X^2 ], VarX, and E[X^3 ].