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

Suppose that Ann selects a ball by first picking one of two boxes at random and then selecting a ball from this box. The first box contains three orange balls and four black balls, and the second box contains five orange balls and six black balls. What is the probability that Ann picked a ball from the second box if she has selected an orange ball?

Short Answer

Expert verified

Answer

The probability that Ann picked a ball from the second box if she has selected an orange ball is 3568

Step by step solution

01

Step-1 Given Information

  1. The first box contains three orange balls and four black balls
  2. The second box contains five orange balls and six black balls.
02

Step-2 Definition and Formula

E= {an orange ball is chosen}.


F= {a ball is picked from the second box}.

The formula use to find the probability that Ann picked a ball from the second box if she has selected an orange ball is -

P(F|E)=P(E|F)P(F)P(E|F)P(F)+P(E|F¯)P(F¯)

03

Step-3 Find the P(E|F) and P(E|F¯) 

E= {an orange ball is chosen}.


F= {a ball is picked from the second box}.

P(E)=P(E¯)=12

Now,

P(E|F)=5(5+6)=511P(E|F¯)=3(3+4)==37

04

Step-4 Find the  P(F|E)

So,

P(F|E)=P(E|F)P(F)P(E|F)P(F)+P(E|F¯)P(F¯)=5111251112+3712=3568

Hence,

The probability that Ann picked a ball from the second box if she has selected an orange ball is 3568

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

Question:Ramesh can get to work in three different ways: by bicycle, by car, or by bus. Because of commuter traffic, there is a\({\bf{50}}\% \)chance that he will be late when he drives his car. When he takes the bus, which uses a special lane reserved for buses, there is a\({\bf{20}}\% \)chance that he will be late. The probability that he is late when he rides his bicycle is only\({\bf{5}}\% \). Ramesh arrives late one day. His boss wants to estimate the probability that he drove his car to work that day.

a) Suppose the boss assumes that there is a\({\bf{1}}/{\bf{3}}\)chance that Ramesh takes each of the three ways he can get to work. What estimate for the probability that Ramesh drove his car does the boss obtain from Bayes’ theorem under this assumption?

b) Suppose the boss knows that Ramesh drives\(3{\bf{0}}\% \)of the time, takes the bus only\({\bf{10}}\)% of the time, and takes his bicycle\({\bf{60}}\% \)of the time. What estimate for the probability that Ramesh drove his car does the boss obtain from Bayes’ theorem using this information?

Question:To determine which is more likely: rolling a total of 9 when two dice are rolled or rolling a total of 9 when three dice are rolled?

Question: Use mathematical induction to prove that E1,E2,...,En is a sequence of n pair wise disjoint events in a sample space S, where nis a positive integer, then p(i=1nEi)=i=1np(Ei).

Question: Suppose that and are the events that an incoming mail \({E_1}\)message contains the words \({w_1}\) and \({w_2}\), respectively. Assuming that \({E_1}\) and \({E_2}\) are independent events and that \({E_1}\left| S \right.\) and \({E_2}\left| S \right.\) are independent events, where S is the event that an incoming message is spam, and that we have no prior knowledge regarding whether or not the message is spam, show that

\(p(S|{E_1} \cap {E_2}) = \frac{{p({E_1}|S)p({E_2}|S)}}{{p({E_1}|S)p({E_2}|S) + p({E_1}|\bar S)p({E_2}|\bar S)}}\)

Question: An electronics company is planning to introduce a new camera phone. The company commissions a marketing report for each new product that predicts either the success or the failure of the product. Of new products introduced by the company, 60% have been successes. Furthermore. 70% of their successful products were predicted to be successes, while 40% of failed products were predicted to be successes. Find the probability that this new camera phone will be successful if its success has been predicted.

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