Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Which of the following describe discrete random variables, and which describe continuous random variables?

a. The number of damaged inventory items

b. The average monthly sales revenue generated by a salesperson over the past year

c. Square feet of warehouse space a company rents

d. The length of time a firm must wait before its copying machine is fixed

Short Answer

Expert verified

a. This is a discrete random variable.

b. This is a discrete random variable.

c. This is a continuous random variable.

d. This is a continuous random variable.

Step by step solution

01

Given information

The variables are random variables.

02

Identifying the random variable in case the number of damaged inventory items

a.

.Since the number of damaged inventory items can be counted, these are discrete random variables.

03

Identifying the random variable in case the average monthly sales revenue generated by a salesperson over the past year

b.

Average monthly sales can be counted. So, the average monthly sales revenue generated by a salesperson over the past year is a discrete random variable.

04

Identifying the random variable in case the square feet of warehouse space a company rents

c.

The square feet of warehouse are measurable but within an interval. So, the square feet of warehouse space a company rents is a continuous random variable.

05

Identifying the random variable in case the length of time a firm must wait before its copying machine is fixed

d.

The length of time can be measurable but within an interval. Hence, the length of time a firm must wait before its copying machine is fixed is a continuous 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

Shear strength of rock fractures. Understanding the characteristics

of rock masses, especially the nature of the fracturesis essential when building dams and power plants.The shear strength of rock fractures was investigated inEngineering Geology(May 12, 2010). The Joint RoughnessCoefficient (JRC) was used to measure shear strength.Civil engineers collected JRC data for over 750 rock fractures.The results (simulated from information provided in the article) are summarized in the accompanying SPSShistogram. Should the engineers use the normal probabilitydistribution to model the behavior of shear strength forrock fractures? Explain

4.126 Wear-out of used display panels.Wear-out failure time ofelectronic components is often assumed to have a normaldistribution. Can the normal distribution be applied to thewear-out of used manufactured products, such as coloreddisplay panels? A lot of 50 used display panels was purchasedby an outlet store. Each panel displays 12 to 18 colorcharacters. Prior to the acquisition, the panels had been usedfor about one-third of their expected lifetimes. The data inthe accompanying table (saved in the file) give the failuretimes (in years) of the 50 used panels. Use the techniquesof this section to determine whether the used panel wear-outtimes are approximately normally distributed.

0.01 1.21 1.71 2.30 2.96 0.19 1.22 1.75 2.30 2.98 0.51

1.24 1.77 2.41 3.19 0.57 1.48 1.79 2.44 3.25 0.70 1.54

1.88 2.57 3.31 0.73 1.59 1.90 2.61 1.19 0.75 1.61 1.93

2.62 3.50 0.75 1.61 2.01 2.72 3.50 1.11 1.62 2.16 2.76

3.50 1.16 1.62 2.18 2.84 3.50

185 Software file updates. Software configuration management was used to monitor a software engineering teamโ€™s performance at Motorola, Inc. (Software Quality Professional, Nov. 2004). One of the variables of interest was the number of updates to a file that was changed because of a problem report. Summary statistics forn=421 n = 421 files yielded the following results: role="math" localid="1658219642985" xยฏ=4.71,s=6.09, QL=1, andQU=6 . Are these data approximately normally distributed? Explain.

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.

Apps not working on smartphones. In a Pew Research Center survey titled U.S. Smartphone Use in 2015, more than 2,000 smartphone users were asked how often the applications (apps) they downloaded on their cell phones were not working correctly. Responses were recorded as follows: 1 = Frequently, 2 = Occasionally, 3 = Rarely, and 4 = Never. The probability distribution for the numerical response, x, is provided in the table.

  1. Verify that the properties of a probability distribution for a discrete random variable are satisfied.
  2. Find P(x>2)
  3. Find E(x). Interpret this value practically.

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