/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q33SE In a certain city, three newspap... [FREE SOLUTION] | 91影视

91影视

In a certain city, three newspapersA,B, andC,are published. Suppose that 60 percent of the families in the city subscribe to newspaperA, 40 percent of the families subscribe to newspaperB, and 30 percent subscribe to newspaperC. Suppose also that 20 percent of the families subscribe to bothAandB, 10 percent subscribe to bothAandC, 20 percent subscribe to bothBandC, and 5 percent subscribe to all three newspapersA,B, andC. Consider the conditions of Exercise 2 of Sec. 1.10 again. If a family selected at random from the city subscribes to exactly one of the three newspapers,A,B, andC, what is the probability that it isA?

Short Answer

Expert verified

The probability \(A\) is \(0.7\) or \(70\) percent.

Step by step solution

01

Given information

Newspapers \(A,B\) \(C\) are published in a certain city.

\(60\)percent subscribe newspaper \(A\).

\(40\)percent subscribe newspaper \(B\).

\(30\)percent subscribe newspaper \(C\).

\(20\)percent subscribe newspaper \(A\) and \(B\).

\(10\)percent subscribe newspaper \(A\) and \(C\).

\(20\)percent subscribe newspaper \(B\)and \(C\).

\(5\) percent subscribe newspaper \(A\),\(B\)and\(C\).

02

State the condition

\(60\)percent subscribe newspaper \(A\). Then the probability of subscribing newspaper\(A\) is \(p\left( A \right) = 0.6\).

\(40\) percent subscribe newspaper \(B\). So, the probability of subscribe newspaper \(B\) is \(p\left( B \right) = 0.4\).

\(30\)percent subscribe newspaper \(C\). So, the probability of subscribe newspaper \(C\) is \(p\left( C \right) = 0.3\)

\(20\) percent subscribe newspaper \(A\) and \(B\). So, the probability of subscribe newspaper \(A\) \(B\) is \(p\left( {A \cap B} \right) = 0.2\).

\(10\)percent subscribe newspaper \(A\) and \(C\). So, the probability of subscribe newspaper \(A\) \(C\) is \(p\left( {A \cap C} \right) = 0.1\).

\(20\) percent subscribe newspaper \(B\)and \(C\). So, the probability of subscribe newspaper \(B\) \(C\) is \(p\left( {B \cap C} \right) = 0.2\).

\(5\) percent subscribe newspaper \(A\),\(B\)and\(C\). \(C\). So, the probability of subscribe newspaper \(A\),\(B\) and \(C\) is \(p\left( {A \cap B \cap C} \right) = 0.05\).

Therefore, if you don鈥檛 subscribe to all three newspapers \(A\),\(B\) and\(C\). Then the possibility is given by:

\(\begin{aligned}{c}p\left( {A \cup B \cup C} \right) &= p\left( A \right) + p\left( B \right) + p\left( C \right) - p\left( {A \cap B} \right) - p\left( {B \cap C} \right) - p\left( {A \cap C} \right) + p\left( {A \cap B \cap C} \right)\\& = 0.6 + 0.4 + 0.3 - \left( {0.2 + 0.1 + 0.2} \right) + 0.05\\& = 1.35 - 0.5\\ &= 0.85\end{aligned}\)

03

Compute the Conditional probability

This given problem is solved by conditional theorem. By use of conditional theorem, it is given by

\(\begin{aligned}{c}p\left( {A\left| {A \cup B \cup C} \right.} \right) &= \frac{{p\left[ {A \cap \left( {A \cup B \cup C} \right)} \right]}}{{p\left( {A \cup B \cup C} \right)}}\\ &= \frac{{p\left( A \right)}}{{p\left( {A \cup B \cup C} \right)}}\\& = \frac{{0.6}}{{0.85}}\\ &= 0.70\end{aligned}\)

Hence \(70\) 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 91影视!

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

Let X and Y be random variables for which the jointp.d.f. is as follows:

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}{\bf{2}}\left( {{\bf{x + y}}} \right)\;\;\;\;\;\;\;\;\;\;{\bf{for}}\;{\bf{0}} \le {\bf{x}} \le {\bf{y}} \le {\bf{1,}}\\{\bf{0}}\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;{\bf{otherwise}}\end{array} \right.\)

Find the p.d.f. of Z = X + Y.

Suppose that a random variableXhas a discrete distribution

with the following p.f.:

\(f\left( x \right) = \left\{ \begin{array}{l}cx\;\;for\;x = 1,...,5,\\0\;\;\;\;otherwise\end{array} \right.\)

Determine the value of the constantc.

Suppose that the p.d.f. of X is as follows:

\(\begin{aligned}f\left( x \right) &= e{}^{ - x},x > 0\\ &= 0,x \le 0\end{aligned}\)

Determine the p.d.f. of \({\bf{Y = }}{{\bf{X}}^{\frac{{\bf{1}}}{{\bf{2}}}}}\)

Suppose that a box contains a large number of tacks and that the probability X that a particular tack will land with its point up when it is tossed varies from tack to tack in accordance with the following p.d.f.:

\(f\left( x \right) = \left\{ \begin{array}{l}2\left( {1 - x} \right)\;\;\;\;\;for\;0 < x < 1\\0\;\;\;\;\;\;\;\;\;\;\;\;\;otherwise\end{array} \right.\)

Suppose that a tack is selected at random from the box and that this tack is then tossed three times independently. Determine the probability that the tack will land with its point up on all three tosses.

Suppose that an electronic system comprises four components, and let\({X_j}\)denote the time until component j fails to operate (j = 1, 2, 3, 4). Suppose that\({X_1},{X_2},{X_3}\)and\({X_4}\)are i.i.d. random variables, each of which has a continuous distribution with c.d.f.\(F\left( x \right)\)Suppose that the system will operate as long as both component 1 and at least one of the other three components operate. Determine the c.d.f. of the time until the system fails to operate.

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.