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

Baby elk Refer to Exercise 77 . How surprising would it be for more than 4 elk in the sample to survive to adulthood? Calculate an appropriate probability to support your answer.

Short Answer

Expert verified

It's not surprising that more than four elk live to adulthood, because the acceptable likelihood is0.1402

Step by step solution

01

Given Information

Total number of trials,n=7

The likelihood of success, p=44%=0.44

02

Simplifications

The binomial probability states that

P(X=k)=nk·pk·(1-p)n-k

Mutually exclusive event addition rule:

P(AB)=P(AorB)=P(A)+P(B)

Fork=5,

The binomial probability is calculated as follows:

P(X=5)=75(0.44)5(10.44)75=7!5!(75)!(0.44)5(0.56)2=21(0.44)5(0.56)20.1086

For k=6,

The binomial probability is calculated as follows:

P(X=6)=76(0.44)6(10.44)76=7!6!(76)!(0.44)6(0.56)1=7(0.44)6(0.56)10.0284

For K=7,

The binomial probability is calculated as follows:
P(X=7)=77(0.44)7(10.44)77=7!7!(77)!(0.44)7(0.56)0=1(0.44)7(0.56)00.0032

Because it's impossible to have two distinct counts of successes in the same simulation.

For mutually exclusive events, use the addition rule:

P(X>4)=P(X=5)+P(X=6)+P(X=7)=0.1086+0.0284+0.0032=0.1402

Probabilities of less than 0.05 are deemed small.

However, in this scenario, the likelihood is not insignificant.

This indicates that the occurrence is most likely to happen by chance.

As a result, the fact that more than four elk have survived to adulthood is not remarkable.

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

In debt? Refer to Exercise 100.

a. Justify why D can be approximated by a normal distribution.

b. Use a normal distribution to estimate the probability that 30or more adults in the sample have more debt than savings.

Geometric or not? Determine whether each of the following scenarios describes a geometric setting. If so, define an appropriate geometric random variable.

a. A popular brand of cereal puts a card bearing the image of 1 of 5 famous NASCAR drivers in each box. There is a 1/5chance that any particular driver's card ends up in any box of cereal. Buy boxes of the cereal until you have all 5 drivers' cards.

b. In a game of 4-Spot Keno, Lola picks 4 numbers from 1 to 80 . The casino randomly selects 20 winning numbers from 1 to 80 . Lola wins money if she picks 2 or more of the winning numbers. The probability that this happens is \(0.259\). Lola decides to keep playing games of 4-Spot Keno until she wins some money.

Time and motion A time-and-motion study measures the time required for an assembly-line worker to perform a repetitive task. The data show that the time required to bring a part from a bin to its position on an automobile chassis varies from car to car according to a Normal distribution with mean 11seconds and standard deviation 2seconds. The time required to attach the part to the chassis follows a Normal distribution with mean 20seconds and standard deviation 4seconds. The study finds that the times required for the two steps are independent. A part that takes a long time to position, for example, does not take more or less time to attach than other parts.

(a) Find the mean and standard deviation of the time required for the entire operation of positioning and attaching the part.

(b) Management’s goal is for the entire process to take less than 30seconds. Find the probability that this goal will be met. Show your work

Taking the train According to New Jersey Transit, the 8:00A.M. weekday train from Princeton to New York City has a 90%chance of arriving on time on a randomly selected day. Suppose this claim is true. Choose 6 days at random. Let localid="1654594369074" Y=the number of days on which the train arrives on time.

Class is over! Mr. Shrager does not always let his statistics class out on time. In fact, he

seems to end class according to his own “internal clock.” The density curve here models

the distribution of Y, the amount of time after class ends (in minutes) when Mr. Shrager

dismisses the class on a randomly selected day. (A negative value indicates he ended class

early.)

a) Find and interpret P(1Y1).

b) What is μY ? Explain your answer.

c)Find the value of k that makes this statement true: localid="1654015283453" P(Yk)=0.25

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