(Problem 1: Binomial Proofs)
(Problem 1: Binomial Proofs)
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[[4.2a Emir Kavurmacioglu_ECE302Fall2008sanghavi]]
 
[[4.2a Emir Kavurmacioglu_ECE302Fall2008sanghavi]]
  
[[4.2a Eric Zarowny_ECE302Fall2008sanghavi]]
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[[4.2a Eric Zarowny_ECE302Fall2008sanghavi]] comment by Beau Morrison
  
 
[[4.2b Steve Streeter_ECE302Fall2008sanghavi]]
 
[[4.2b Steve Streeter_ECE302Fall2008sanghavi]]

Revision as of 16:54, 23 September 2008

Instructions

Homework 4 can be downloaded here on the ECE 302 course website.

Problem 1: Binomial Proofs

Let $ X $ denote a binomial random variable with parameters $ (N, p) $.

  • (a) Show that $ Y = N - X $ is a binomial random variable with parameters $ (N,1-p) $
  • (b) What is $ P\{X $ is even}? Hint: Use the binomial theorem to write an expression for $ (x + y)^n + (x - y)^n $ and then set $ x = 1-p $, $ y = p $.

4.2a Suan-Aik Yeo_ECE302Fall2008sanghavi

4.2a Emir Kavurmacioglu_ECE302Fall2008sanghavi

4.2a Eric Zarowny_ECE302Fall2008sanghavi comment by Beau Morrison

4.2b Steve Streeter_ECE302Fall2008sanghavi

Problem 2: Locked Doors

An absent-minded professor has $ n $ keys in his pocket of which only one (he does not remember which one) fits his office door. He picks a key at random and tries it on his door. If that does not work, he picks a key again to try, and so on until the door unlocks. Let $ X $ denote the number of keys that he tries. Find $ E[X] $ in the following two cases.

  • (a) A key that does not work is put back in his pocket so that when he picks another key, all $ n $ keys are equally likely to be picked (sampling with replacement).
  • (b) A key that does not work is put in his briefcase so that when he picks another key, he picks at random from those remaining in his pocket (sampling without replacement).


2a Ken Pesyna_ECE302Fall2008sanghavi

2a Spencer Mitchell_ECE302Fall2008sanghavi

2a Hamad Al Shehhi_ECE302Fall2008sanghavi Spencer, I believe the equation you used is right, but p = 1/n and not n

2a Joe Romine_ECE302Fall2008sanghavi

2a Ben Carter_ECE302Fall2008sanghavi in response to Joe's Comment

2b Brian Thomas_ECE302Fall2008sanghavi

2b AJ Hartnett_ECE302Fall2008sanghavi

2 Arie Lyles_ECE302Fall2008sanghavi question about classifying random variables

Problem 3: It Pays to Study

There are $ n $ multiple-choice questions in an exam, each with 5 choices. The student knows the correct answer to $ k $ of them, and for the remaining $ n-k $ guesses one of the 5 randomly. Let $ C $ be the number of correct answers, and $ W $ be the number of wrong answers.

  • (a) What is the distribution of $ W $? Is $ W $ one of the common random variables we have seen in class?
  • (b) What is the distribution of $ C $? What is its mean, $ E[C] $?

4.3 Tiffany Sukwanto_ECE302Fall2008sanghavi

4.3a Priyanka Savkar_ECE302Fall2008sanghavi

4.3 Monsu Mathew_ECE302Fall2008sanghavi

4.3 Zhongtian Wang_ECE302Fall2008sanghavi-comments for Monsu Mathew

4.3b Hamad Al Shehhi_ECE302Fall2008sanghavi- The E[C]

Problem 4: No Deal

In "Deal or No Deal" (the most ridiculous game show on TV), there are 5 suitcases. The suitcases contain $1, $10, $100, $1,000 and $10,000, respectively. There is a "banker" who offers the contestant a dollar amount that he can take and go home, right then and there. If the contestant does not use the banker's offer, he can choose one of the suitcases and "eliminate" it by removing it from play. Then he plays the next round with the remaining suitcases.

  • (a) The banker wants to offer an amount equal to the average of what will REMAIN, after the choice is made. (for example, if 1000 is chosen, then

the average of what will remain is (1 + 10 + 100 + 10000)/4.) Of course, the banker has to make an offer before the choice is made. What amount should the banker offer?

  • (b) The contestant has nerves of steel, and never takes up the banker's offer in any round. He thus goes home with one of the 5 suitcases. However, he has to pay a 30% tax on the amount he takes home. How much will he be left with on average, after taxes?

4.4 Zhongtian Wang & Jonathan Morales_ECE302Fall2008sanghavi

4.4A Katie Pekkarinen_ECE302Fall2008sanghavi

4.4B Shao-Fu Shih_ECE302Fall2008sanghavi

4.4b Seraj Dosenbach_ECE302Fall2008sanghavi

4.4b Ben Wurtz_ECE302Fall2008sanghavi

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood