The Binomial Distribution. Summer 2003



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The Binomial Distribution Summer 2003

Internet Bubble Several industry experts believe that 30% of internet companies will run out of cash in 6 months and that these companies will find it very hard to secure additional funding Association for Computing Machinery,, August, 2001 Pick 10 companies at random. How many would we expect to run out of cash in 6 months? What is p(4 run out of cash in 6 months)? What is p(2 run out )? What is p(all 10 run out )? 15.063 Summer 2003 2

Binomial Distribution Derived from theory, not from experience An experiment consists of n trials Each trial results in : yes or no ( binomial means 2 names or 2 labels ) Trials are independent of each other Each trial has same probability: success p, failure 1-p r.v. X = # successes in n trials Random variable X has binomial distribution with parameters n and p Binomial(n,p) 15.063 Summer 2003 3

An Example Experiment Select, randomly, one team of 3 students from a large pool of students composed of 70% US, and 30% International. r.v. X = number of international students on the three student team selected randomly. n = 3 trials define: yes : picking an international student no : picking a US student P(yes) = p = 0.30; P(no) = 1 - p = 0.70 X is a Binomial (n=3, p=0.30) (compare to experiment 2 in which we flipped three coins with p(h) = 0.3 and looked at the total # of heads) 15.063 Summer 2003 4

Probability tree and probability distribution for r.v. X (total # Int students) Int Int 0.3 0.3 US Int 0.7 Outcome X (#Int) Probabil IntIntInt 3 0.027 IntIntUS 2 0.063 0.3 Int US 0.3 IntUSInt 2 0.063 X p(x) 0.7 0 0.343 US 1 0.441 IntUSUS 1 0.147 2 0.189 0.7 3 0.027 1.000 Int USIntInt 2 0.063 Int 0.3 0.3 US 0.7 US USIntUS 1 0.147 0.7 Int US 0.3 USUSInt 1 0.147 0.7 US USUSUS 0 0.343 0.7 1.000 15.063 Summer 2003 5

Binomial Probability Distribution Formula Let X be Binomial(n, p): The probability of having x yes events (also called successes in n trials is P(X=x) = n! x!( n x)! p x (1-p) n-x (where x! = x(x-1)(x-2) 1, and 0! = 1) Check in Example 1: n=3, p=0.3 P(X=1) = 3! 1!/(3-1)! (0.3) (0.7) 2 = 0.441 15.063 Summer 2003 6

Internet Bubble Again What is the p(4 of 10 run out of cash)? P(X=x) = n! p x (1-p) n-x x!(n-x)! x)! P(X=4) = 10!.3 4 (.7 6 ) =.20 4!6! P(X=10) =? 15.063 Summer 2003 7

Excel Calculates Binomial Probabilities Use the function wizard icon or the Insert_Function Command to choose the Statistical function BINOMDIST. This function calculates either the individual binomial probability P(X=Value) or the cumulative binomial probability P(X<=Value). 15.063 Summer 2003 8

Mean, Variance and SD for Binomial Probability Distribution (r.v.) Let X be Binomial(n, p): The probability of having x successes in n trials is: P(X=x)= n! x!( n x)! p x (1-p) n-x (where x! = x(x-1)(x-2) 1, and 0! = 1) E(X) = np = 3* 0.3 = 0.9 VAR(X) = np(1-p) = 3* 0.3 * 0.7 = 0.63 SD(X) = n p ( 1 - p ) = 0.794 Calculations shown for Binomial (n=3, p=0.3) Note: this is equivalent to counting success = 1 and failure = 0 15.063 Summer 2003 9

Another example: A laser production facility is known to have a 75% yield; that is, 75% of the lasers manufactured by the facility pass the quality test. Suppose that today the facility is scheduled to produce 15 lasers. a) What is the expected number of lasers to pass the test (the mean)? b) What is the variance? c) What is the standard deviation? d) What is the probability that at least 14 lasers will pass the quality test? 15.063 Summer 2003 10

Laser Production What is the mean? E(X) = np = 15*.75 = 11.25 lasers What is the variance? Var(X) ) = np(1-p) p) = 15*.75*.25 = 2.812 What is the standard deviation? SD(X) = sqrt (Variance) = 1.677 lasers What is the p of 14 or more passing? P(14 or more) = p(14) + p(15) =.067 +.013 =.08 15.063 Summer 2003 11

Acquiring A Company Decision You represent Company A (the Acquirer), which is considering acquiring Company T (the Target) by means of a cash offer for 100% of Company T shares. You are unsure what price to offer because the value of Company T depends on the outcome of a major oil exploration project. If the project fails, Company T will be worth nothing, but if it succeeds, shares of Company T could be worth up to $100. All share values between $0 and $100 are considered equally likely. By all estimates, whatever the value of Company T under current management, it will be worth 50% more under the management of Company A. The Board of Directors wants your recommendation today for how much to offer per share for Company T. You do not know the outcome of the exploration project, however, you expect Company T to delay their decision about accepting your offer until after they know the results of the project. Company T will accept any offer above their true value and reject any offer below. There will be no negotiation or opportunity to make a second offer. What do you recommend as a take-it it-or- leave-it price for Company T? $ per share 15.063 Summer 2003 12

Setting Up the Problem What is our goal?? To maximize expected profit. What are the options?? Make an offer of somewhere between $0 and $100/share. If you have trouble setting up the continuous problem, try making it discrete, e.g., what if I offered $20, $40, $60, $80? What are the outcomes?? Profit = Revenue Costs. Revenue = 1.5 * Book Value. Costs = Offer. So Profit = 1.5 BV O. What is E(BV)? And what are the probabilities? 15.063 Summer 2003 13

Probabilities We are told there is a uniform distribution between $0 and $100. Therefore, is the expected value = (0 + 100)/2 = $50/share? No. The seller will not accept any offer less than the book value. Therefore, if my offer is accepted, the book value must be uniform between $0 and Offer. E(BV) is therefore (0 + Offer)/2 =.5 Offer!! And, Profit = 1.5 BV Offer = 1.5*.5 Offer Offer = -.25 Offer 15.063 Summer 2003 14

Uniform Distributions $0 Offer = $60 $100 15.063 Summer 2003 15

Conditional Probabilities The key to the Acquiring A Company decision is to realize that the seller is making a decision conditional on receiving an acceptable offer If you offer $60/share, the offer will be accepted only if the value is <= $60/share Your expected book value is therefore conditional on your offer! If you offer $60/share, the expected book value is not $50/share, but rather $30/share (all values between $0 and $60 equally likely) Your E(profit) is always <0, so don t bid! 15.063 Summer 2003 16

Your Answers 37% answered $50/share, which is the EMV of T; ignores the conditional situation 19% bid between $51-$75 $75 which tries to give each side some profit 9% gave the correct answer ($0, or don t make a bid) Even $1/share bid will lose an expected 25 cents per share (times millions of shares) 15.063 Summer 2003 17

Next Lecture Question: Given the choice to invest $1 million in these three firms, which one(s) would you choose? Asset Expected Return (% per year) Risk (% per year) Correlation Exxon Boeing GM Exxon 11.2% 13.9% ----- 0.41 0.13 Boeing 9.1 16.5 0.41 ---- -0.22 GM 12.1 15.8 0.13-0.22 ---- More information would help Question: How do we describe the relationship between two random variables? Covariance - Correlation 15.063 Summer 2003 18