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The Geometric Distribution. In this exercise, we discuss the geometric distribution, the probability distribution for the number of trials until the first success in Bernoulli trials. The geometric probability formula is

P(X=x)=p(1-p)x-1,

where Xdenotes the number of trials until the first success and pthe success probability. Using the geometric probability formula and Definition 5.9 on page 227. we can show that the mean of the random variable Xis 1/p.

To illustrate, consider the Mega Millions lottery, a multi-state jackpot draw game with a jackpot starting at $15 million and growing until someone wins. In order to play, the player selects five white numbers from the numbers 1-75 and one Mega Ball number from the numbers 1-15. Suppose that you buy one Mega Millions ticket per week. Let Xdenote the number of weeks until you win a prize.

(a) Find and interpret the probability formula for the random variable X. (Note: The probability of winning a prize with a single ticket is 0.0680.)

(b) Compute the probability that the number of weeks until you win a prize is exactly 3; at most 3: at least 3.

(c) On average, how long will it be until you win a prize?

Short Answer

Expert verified

Part (a) 0.0290647

Part (b)

PX=3=0.027PX≥3=0.085PX≤3=0.9427154

Part (c) approx 34 weeks.

Step by step solution

01

Part (a) Step 1. Given information.

The given statement is:

The formula of geometric probability is:

PX=x=p1-px-1

02

Part (a) Step 2. Find the probability formula for the random variable X.

Let's call 'X' the number of winning numbers on a single ticket:

No. of Winning NumbersProbability
00.3713060
10.4311941
20.1684352
30.0272219
40.0018014
50.0000412
60.0000002

To win a prize, the ticket must include three or more of the winning numbers. That is, for winning a prize in a lottery ticket, x≥3.

03

Part (a) Step 3. Find the probability.

Consider X to be the number of weeks until you win a prize. That is, X can have the values 1, 2, 3, 4, and so on.

We can clearly see that, Xhas a geometric distribution with parameters p, where prepresents the probability of success.

P can be described as:

p=PX≥3=PX=3+PX=4+PX=5+PX=6=0.0272219+0.0018014+0.0000412+0.0000002=0.0290647

As a result, we can say that there is only a 2.9 percent chance of winning a prize on a lottery ticket.

04

Part (b) Step 1. Find the probability that the number of weeks until you win a prize is exactly 3; at most 3: at least 3.

Use the formula of geometric probability:

PX=x=p1-px-1PX=3=0.0291-0.0293-1=0.029×0.9712=0.027

Probability of at most 3 wins:

role="math" localid="1651849915949" PX≤3=PX=1+PX=2+PX=3=0.0291-0.0291-1+0.0291-0.0292-1+0.0291-0.0293-1=0.0291+0.970+0.9712=0.029+0.028+0.027=0.085

Probability of at least 3 wins:

PX>3=1-PX=1+PX=2=1-0.0291+0.970=1-0.029+0.028=0.9427154

05

Part (c) Step 1. Find the time it took to win the prize.

The mean is:

E(X)=1p=10.029=34.406≈34weeks

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Most popular questions from this chapter

Pets. According to JAVMA News, a publication of the American Veterinary Medical Association, roughly 60% of U.S. households own one or more pets. Four U.S. households are selected at random. Use Table VII in Appendix A to solve the following problems.

(a) Find the probability that, of the four households sampled, the number that own one or more pets is exactly three; at least three; at most three.

(b) Find the probability distribution of the random variable X. the number of U.S. households in a random sample of four that own one or more pets.

(c) Without referring to the probability distribution obtained in part (b) or constructing a probability histogram, decide whether the probability distribution is right-skewed, symmetric, or left-skewed. Explain your answer. *

In Exercises 5.16-5.26, express your probability answers as a decimal rounded to three places.

Occupations in Seoul. The population of Seoul was studied in an article by B. Lee and J. McDonald, "Determinants of Commuting Time and Distance for Seoul Residents: The Impact of Family Status on the Commuting of Women" (Urban Studies, Vol. 40, No. 7, pp. 1283-1302). The authors examined the different occupations for males and females in Seoul. The table at the top of the next page is a frequency distribution of occupation type for males taking part in a survey. (Note: M = manufacturing, N = nonmanufacturing.)

If one of these males is selected at random, find the probability that his occupation is

(a) service.

(b) administrative.

(c) manufacturing.

(d) not manufacturing.

Suppose that a simple random sample is taken from a finite population in which each member is classified as either having or not having a specified attribute. Fill in the following blanks.

(a) If sampling is with replacement, the probability distribution of the number of members sampled that have the specified attribute is a distribution.

(b) If sampling is without replacement, the probability distribution of the number of members sampled that have the specified attribute is a distribution.

(c) If sampling is without replacement and the sample size does not exceed % of the population size, the probability distribution of the number of members sampled that have the specified attribute can be approximated by a distribution.

Give two examples of Bernoulli trials other than those presented in the text.

The Hypergeometric Distribution. In this exercise, we discuss the hypergeometric distribution in more detail. When sampling is done without replacement from a finite population, the hypergeometric distribution is the exact probability distribution for the number of members sampled that have a specified attribute. The hypergeometric probability formula is

PX=x=NpxN1-pn-xNn,

where Xdenotes the number of members sampled that have the specified attribute, Nis the population size, nis the sample size, and pis the population proportion.

To illustrate, suppose that a customer purchases 4 fuses from a shipment of 250, of which 94 % are not defective. Let a success correspond to a fuse that is not defective.

(a) Determine N, n, and p.

(b) Apply the hypergeometric probability formula to determine the probability distribution of the number of nondefective fuses that the customer gets.

Key Fact 5.6 shows that a hypergeometric distribution can be approximated by a binomial distribution, provided the sample size does not exceed 5% of the population size. In particular, you can use the binomial probability formula

P(X=x)=nxpx1-pn-x

with n=4andp=0.94, to approximate the probability distribution of the number of nondefective fuses that the customer gets.

(c) Obtain the binomial distribution with parameters n=4andp=0.94.

(d) Compare the hypergeometric distribution that you obtained in part (b) with the binomial distribution that you obtained in part (c).

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