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

Two students,AandB,are both registered for a certain course. Assume that studentAattends class 80 percent of the time, studentBattends class 60 percent of the time, and the absences of the two students are independent. Consider the conditions of Exercise 7 of Sec. 2.2 again. If exactly one of the two students,AandB,is in class on a given day, what is the probability that it isA?

Short Answer

Expert verified

Finally, \(21\) the percent of probability that it is \(A\).

Step by step solution

01

Given information

Two students\(A\)and\(B\)are both registered for a certain course. Given that\(A\)attends class\(80\)percent of that time and\(B\)attends class\(60\)percent of that time.

Also, given the condition absence of the two students are independent.

02

State the condition

\(A\) attends class \(80\) percent at that time, so \(A\) absent \(20\) percent of the time. Then the probability of \(A\) is \(p\left( A \right) = \frac{{20}}{{100}} = 0.2\).

\(B\)present class\(60\)percent of that time. Then\(B\)not present\(40\)percent of that time. Therefore, the probability of\(B\)given by\(p\left( B \right) = \frac{{40}}{{100}} = 0.4\).

Both are absent from the class on the same day. Then both absences are given by

\(\begin{aligned}{c}p\left( {A \cap B} \right)& = p\left( A \right) \times p\left( B \right)\\ &= 0.2 \times 0.4\\& = 0.08\end{aligned}\)

Therefore, the attends of both \(A\) \(B\) is find that

\(\begin{aligned}{c}p\left( {A \cap B} \right) &= 1 - p\left( {A \cup B} \right)\\& = 1 - 0.08\\ &= 0.92\end{aligned}\)

03

Compute the probability

To compute the probability by the method of the conditional theorem. The theorem is given by

\(p\left( {A\left| B \right.} \right) = \frac{{p\left( {A \cap B} \right)}}{{p\left( B \right)}}\) . In this condition, we use the theorem is

\(\begin{aligned}{c}p\left( {A\left| {A B} \right.} \right) &= \frac{{p\left( {A \cap \left( {A \cup B} \right)} \right)}}{{p\left( {A \cup B} \right)}}\\ &= \frac{{p\left( A \right)}}{{p\left( {A \cup B} \right)}}\end{aligned}\)

Hence the probability that it is \(A\) is given by

\(\begin{aligned}{c}\frac{{p\left( A \right)}}{{p\left( {A \cup B} \right)}} &= \frac{{0.2}}{{0.92}}\\ &= 0.21\end{aligned}\)

Finally, \(21\) the percent of probability that it is \(A\).

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 a large collection of coins, the probability X that a head will be obtained when a coin is tossed varies from one coin to another, and the distribution of X in the collection is specified by the following p.d.f.:

\({{\bf{f}}_{\bf{1}}}\left( {\bf{x}} \right){\bf{ = }}\left\{ {\begin{align}{}{{\bf{6x}}\left( {{\bf{1 - x}}} \right)}&{{\bf{for}}\,{\bf{0 < x < 1}}}\\{\bf{0}}&{{\bf{otherwise}}}\end{align}} \right.\)

Suppose that a coin is selected at random from the collection and tossed once, and that a head is obtained. Determine the conditional p.d.f. of X for this coin.

Suppose that the joint p.d.f. of two random variables X and Y is as follows:

\(f\left( {x,y} \right) = \left\{ \begin{aligned}{l}c\left( {x + {y^2}} \right)\,\,\,\,\,\,for\,0 \le x \le 1\,and\,0 \le y \le 1\\0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{aligned} \right.\)

Determine

(a) the conditional p.d.f. of X for every given value of Y, and

(b) \({\rm P}\left( {X > \frac{1}{2}|Y = \frac{3}{2}} \right)\).

Suppose that three boys A, B, and C are throwing a ball from one to another. Whenever A has the ball, he throws it to B with a probability of 0.2 and to C with a probability of 0.8. Whenever B has the ball, he throws it to A with a probability of 0.6 and to C with a probability of 0.4. Whenever C has the ball, he is equally likely to throw it to either A or B.

a. Consider this process to be a Markov chain and construct the transition matrix.

b. If each of the three boys is equally likely to have the ball at a certain time n, which boy is most likely to have the ball at time\(n + 2\).

Let Xbe a random variable with the p.d.f. specified in Example 3.2.6. Compute Pr(X≤8/27).

Let the initial probability vector in Example 3.10.6 be\(v = \left( {\frac{1}{{16}},\frac{1}{4},\frac{1}{8},\frac{1}{4},\frac{1}{4},\frac{1}{{16}}} \right)\)Find the probabilities of the six states after one generation.

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