Identify the type of random variable—binomial, Poisson or hypergeometric—described by each of the following probability distributions:

a.p(x)=5xe-5x!;x=0,1,2,...

b.p(x)=(6x)(.2)x(.8)6-x;x=0,1,2,...,6

c.p(x)=10!x!(10-x)!(.9)x(.1)10-x:x=0,1,2,...,10

Short Answer

Expert verified

a. .The given variable is a poisson random variable.

b. .The given variable is a binomial random variable.

c. .The given variable is also a binomial random variable.

Step by step solution

01

Given information

X is a random variable.

02

Identifythe type of random variable when p(x)=.5xe-5x!;x=0,1,2,...

a.

px=.5xe-5x!;x=0,1,2,...=λxe-λx!

whereλ=0.5,x=0,1,2,...

Since the probability distribution of a poisson random variable is

px=λxe-λx!;x=0,1,2,...

Hence, X is a poisson random variable.

03

Identify the type of random variable when p(x)=(6x)(.2)x(.8)6-x;x=0,1,2,...,6

b.

p(x)=(6x)(.2)x(.8)6-x;x=0,1,2,...,6=nxpxqn-x;x=0,1,2,...n

wheren=6,p=0.2,q=0.8,x=0,1,...,6

Since the probability distribution of a binomial random variable is

px=nxpxqn-x;x=0,1,2,...n

Hence, X is a binomial random variable.

04

Identify the type of random variable when p(x)=10!x!(10-x)!(.9)x(.1)10-x:x=0,1,2,...,10 

c.

p(x)=10!x!(10-x)!(.9)x(.1)10-x:x=0,1,2,...,10=n!x!(n-x)!pxqn-x;x=0,1,...,n=(nx)pxqn-x

wheren=10,p=0.9,q=0.1,x=0,1,...,10

Since the probability distribution of a binomial random variable is

px=nxpxqn-x;0,1,2,...,n

Hence, X is a binomial random variable.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Elevator passenger arrivals. A study of the arrival process of people using elevators at a multilevel office building was conducted and the results reported in Building Services Engineering Research and Technology (October 2012). Suppose that at one particular time of day, elevator passengers arrive in batches of size 1 or 2 (i.e., either 1 or 2 people arrive at the same time to use the elevator). The researchers assumed that the number of batches, n, arriving over a specific time period follows a Poisson process with mean λ=1.1. Now let xn represent the number of passengers (either 1 or 2) in batch n and assume the batch size has probabilities p=P(xn=1)=0.4andq=P(xn=2)=0.6. Then, the total number of passengers arriving over a specific time period is y=x1+x2+...+xn. The researchers showed that if x1,x2,...xnare independent and identically distributed random variables and also independent of n, then y follows a compound Poisson distribution.

a. Find P(y=0), i.e., the probability of no arrivals during the time period. [Hint: y = 0 only when n = 0.]

b. Find P(y=1), i.e., the probability of only 1 arrival during the time period. [Hint: y = 1 only when n = 1 and x1=1.]

The random variable x has a normal distribution with μ=40and σ2=36. Find a value of x, call itx0, such that

a.P(xx0)=0.10

b.P(μxx0)=0.40

c.P(xx0)=0.05

d.P(xx0)=0.40

e.P(x0x<μ)=0.45

4.139 Load on timber beams. Timber beams are widely used inhome construction. When the load (measured in pounds) perunit length has a constant value over part of a beam, the loadis said to be uniformly distributed over that part of the beam.Uniformly distributed beam loads were used to derive thestiffness distribution of the beam in the American Institute of

Aeronautics and Astronautics Journal(May 2013). Considera cantilever beam with a uniformly distributed load between100 and 115 pounds per linear foot.

a. What is the probability that a beam load exceeds110 pounds per linearfoot?

b. What is the probability that a beam load is less than102 pounds per linear foot?

c. Find a value Lsuch that the probability that the beamload exceeds Lis only .1.

Flaws in the plastic-coated wire. The British Columbia Institute of Technology provides on its Web site (www.math.bcit.ca) practical applications of statistics at mechanical engineering firms. The following is a Poisson application. A roll of plastic-coated wire has an average of .8 flaws per 4-meter length of wire. Suppose a quality-control engineer will sample a 4-meter length of wire from a roll of wire 220 meters in length. If no flaws are found in the sample, the engineer will accept the entire roll of wire. What is the probability that the roll will be rejected? What assumption did you make to find this probability?

Ranking PhD programs in economics. Refer to the SouthernEconomic Journal(April 2008) rankings of PhD programsin economics at 129 colleges and universities, Exercise 2.103(p. 117). Recall that the number of publications published byfaculty teaching in the PhD program and the quality of thepublications were used to calculate an overall productivityscore for each program. The mean and standard deviationof these 129 productivity scores were then used to computea z-score for each economics program. The data (z-scores)for all 129 economic programs are saved in the accompanying

file. A Minitab normal probability plot for the z-scores isshown below. Use the graph to assess whether the data areapproximately normal.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free