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Chapter 1 Discrete Probability Distributions - DIM

Chapter 1 Discrete Probability Distributions - DIM

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1.2. DISCRETE PROBABILITY DISTRIBUTIONS 3926 Two cards are drawn successively from a deck of 52 cards. Find the probabilitythat the second card is higher in rank than the first card. Hint: Show that 1 =P (higher) + P (lower) + P (same) and use the fact that P (higher) = P (lower).27 A life table is a table that lists for a given number of births the estimatednumber of people who will live to a given age. In Appendix C we give a lifetable based upon 100,000 births for ages from 0 to 85, both for women and formen. Show how from this table you can estimate the probability m(x) that aperson born in 1981 would live to age x. Write a program to plot m(x) bothfor men and for women, and comment on the differences that you see in thetwo cases.*28 Here is an attempt to get around the fact that we cannot choose a “randominteger.”(a) What, intuitively, is the probability that a “randomly chosen” positiveinteger is a multiple of 3?(b) Let P 3 (N) be the probability that an integer, chosen at random between1 and N, is a multiple of 3 (since the sample space is finite, this is alegitimate probability). Show that the limitP 3 = lim P 3(N)N→∞exists and equals 1/3. This formalizes the intuition in (a), and gives usa way to assign “probabilities” to certain events that are infinite subsetsof the positive integers.(c) If A is any set of positive integers, let A(N) mean the number of elementsof A which are less than or equal to N. Then define the “probability” ofA asP (A) = lim A(N)/N ,N→∞provided this limit exists. Show that this definition would assign probability0 to any finite set and probability 1 to the set of all positiveintegers. Thus, the probability of the set of all integers is not the sum ofthe probabilities of the individual integers in this set. This means thatthe definition of probability given here is not a completely satisfactorydefinition.(d) Let A be the set of all positive integers with an odd number of digits.Show that P (A) does not exist. This shows that under the abovedefinition of probability, not all sets have probabilities.29 (from Sholander 24 ) In a standard clover-leaf interchange, there are four rampsfor making right-hand turns, and inside these four ramps, there are four moreramps for making left-hand turns. Your car approaches the interchange fromthe south. A mechanism has been installed so that at each point where thereexists a choice of directions, the car turns to the right with fixed probability r.24 M. Sholander, Problem #1034, Mathematics Magazine, vol. 52, no. 3 (May 1979), p. 183.

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