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 two players A and B take turns rolling a pair of balanced dice and that the winner is the first player who obtains the sum of 7 on a given roll of the two dice. If A rolls first, what is the probability that B will win?

Short Answer

Expert verified

The probability that B will win is 0.454545

Step by step solution

01

Given information

There have A and B players, they have two balanced dice.

02

Step 2:Calculation of the probability that B will win

The sample space S is given by,

\(S = \left\{ {\begin{aligned}{{}{}}{\left( {1,1} \right),\left( {1,2} \right),\left( {1,3} \right),\left( {1,4} \right),\left( {1,5} \right),\left( {1,6} \right)}\\{\left( {2,1} \right),\left( {2,2} \right),\left( {2,3} \right),\left( {2,4} \right),\left( {2,5} \right),\left( {2,6} \right)}\\{\left( {3,1} \right),\left( {3,2} \right),\left( {3,3} \right),\left( {3,4} \right),\left( {3,5} \right),\left( {3,6} \right)}\\{\left( {4,1} \right),\left( {4,2} \right),\left( {4,3} \right),\left( {4,4} \right),\left( {4,5} \right),\left( {4,6} \right)}\\{\left( {5,1} \right),\left( {5,2} \right),\left( {5,3} \right),\left( {5,4} \right),\left( {5,5} \right),\left( {5,6} \right)}\\{\left( {6,1} \right),\left( {6,2} \right),\left( {6,3} \right),\left( {6,4} \right),\left( {6,5} \right),\left( {6,6} \right)}\end{aligned}} \right\}\)

The probability of sum 7 i.e., the win is,

\(\frac{6}{{36}} = \frac{1}{6}\)

The probability of not sum 7 i.e., the loose is,

\(\frac{{30}}{{36}} = \frac{5}{6}\)

For 1sttrial,

Player A rolled first and lost i.e.,

The probability of player A losing is\(\frac{5}{6}\)

Player B rolled and do 7 and win.

The probability of player B win is\(\frac{1}{6}\)

The probability of player B winning in 1sttrial is,

\(\frac{5}{6} \times \frac{1}{6} = \frac{5}{{36}}\)

The probability of player B winning in 2ndtrial is,

\(\frac{5}{{36}} \times \left( {\frac{5}{6} \times \frac{5}{6}} \right)\)

The probability of player B winning in 3rdtrial is,

\(\frac{5}{{36}} \times {\left( {\frac{5}{6} \times \frac{5}{6}} \right)^2}\)

The probability of no player winning is,

\(\frac{5}{6} \times \frac{5}{6} = \frac{{25}}{{36}}\)

So, the probability of player B winning at the nth round is,

\(\begin{aligned}{}\frac{5}{{36}}{\sum\limits_{n = 0}^\infty {\left( {\frac{{25}}{{36}}} \right)} ^{n - 1}} = \frac{5}{{36}}\left[ {1 + \frac{{25}}{{36}} + {{\left( {\frac{{25}}{{36}}} \right)}^2} + ...} \right]\\ = \frac{5}{{36}} \times \frac{1}{{\left( {1 - \frac{{25}}{{36}}} \right)}}\\ = \frac{5}{{36}} \times \frac{1}{{\left( {\frac{{36 - 25}}{{36}}} \right)}}\\ = \frac{5}{{36}} \times \frac{{36}}{{11}}\\ = \frac{5}{{11}}\\ = 0.454545\end{aligned}\)

Therefore, the probability of player B win is 0.454545

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

A new test has been devised for detecting a particular type of cancer. If the test is applied to a person who has this type of cancer, the probability that the person will have a positive reaction is 0.95 and the probability that the person will have a negative reaction is 0.05. If the test is applied to a person who does not have this type of cancer, the probability that the person will have a positive reaction is 0.05 and the probability that the person will have a negative reaction is 0.95. Suppose that in the general population, one person out of every 100,000 people has this type of cancer. If a person selected at random has a positive reaction to the test, what is the probability that he has this type of cancer?

Consider a machine that produces items in sequence. Under normal operating conditions, the items are independent with a probability of 0.01 of being defective. However, it is possible for the machine to develop a โ€œmemoryโ€ in the following sense: After each defective item, and independent of anything that happened earlier, the probability that the next item is defective is\(\frac{{\bf{2}}}{{\bf{5}}}\). After each non-defective item, and independent of anything that happened earlier, the probability that the next item is defective is\(\frac{{\bf{1}}}{{{\bf{165}}}}\).

Please assume that the machine is operating normally for the whole time we observe or has a memory for the whole time we observe. LetBbe the event that the machine is operating normally, and assume that\({\bf{Pr}}\left( {\bf{B}} \right){\bf{ = }}\frac{{\bf{2}}}{{\bf{3}}}\). Let\({{\bf{D}}_{\bf{i}}}\)be the event that theith item inspected is defective. Assume that\({{\bf{D}}_{\bf{1}}}\)is independent ofB.

a. Prove that\({\bf{Pr}}\left( {{{\bf{D}}_{\bf{i}}}} \right){\bf{ = 0}}{\bf{.01}}\) for alli. Hint:Use induction.

b. Assume that we observe the first six items and the event that occurs is\({\bf{E = D}}_{\bf{1}}^{\bf{c}} \cap {\bf{D}}_{\bf{2}}^{\bf{c}} \cap {{\bf{D}}_3} \cap {{\bf{D}}_4} \cap {\bf{D}}_{\bf{5}}^{\bf{c}} \cap {\bf{D}}_{\bf{6}}^{\bf{c}}\). The third and fourth items are defective, but the other four are not. Compute\({\bf{Pr}}\left( {{\bf{B}}\left| {\bf{E}} \right.} \right)\).

Suppose a person rolls two balanced dice twice in succession. Determine the probability that the sum of the two numbers that appear on each of the three rolls will be 7.

If AโŠ‚B with Pr(B) > 0, what is the value of \({\bf{Pr}}\left( {{\bf{A}}|{\bf{B}}} \right)\) ?

Consider the conditions of Exercise 14 in Sec. 2.1 again. Suppose that several parts will be observed and that the different parts are conditionally independent given each of the three states of repair of the machine. If seven parts are observed, and exactly one is defective, compute the posterior probabilities of the three states of repair.

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