/*! 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} Problem 8 Tickets are marked from 1 to 12 ... [FREE SOLUTION] | 91Ó°ÊÓ

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Tickets are marked from 1 to 12 and mixed up. One ticket is taken out at random. Find the probability of its being a multiple of 2 or 3 . [MP-91, 94, 2000, 2009]

Short Answer

Expert verified
The probability is \( \frac{2}{3} \).

Step by step solution

01

Identify Total Number of Outcomes

The numbers on the tickets range from 1 to 12. Therefore, the total number of possible outcomes is 12.
02

Find Multiples of 2

Identify the numbers between 1 and 12 that are multiples of 2. These numbers are 2, 4, 6, 8, 10, and 12.
03

Find Multiples of 3

Identify the numbers between 1 and 12 that are multiples of 3. These numbers are 3, 6, 9, and 12.
04

Apply the Principle of Inclusion-Exclusion

To find the numbers that are multiples of 2 or 3, combine the sets from Steps 2 and 3: \( \{2, 4, 6, 8, 10, 12\} \cup \{3, 6, 9, 12\} \). The numbers 6 and 12 appear in both sets, so count them only once, yielding the set \( \{2, 3, 4, 6, 8, 9, 10, 12\} \).
05

Count Favorable Outcomes

Count the numbers found in Step 4. There are 8 numbers in this set.
06

Calculate Probability

The probability of drawing a ticket that is a multiple of 2 or 3 is the number of favorable outcomes divided by the total number of outcomes: \( \frac{8}{12} = \frac{2}{3} \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Multiples
In mathematics, a multiple of a number is the product of that number and an integer. For instance, a multiple of 2 can be found by multiplying 2 by different integers (1, 2, 3, etc.). This will give numbers like 2, 4, 6, and so on.
  • Multiples of 2: These are numbers like 2, 4, 6, 8, 10, and 12 when considering numbers between 1 and 12.
  • Multiples of 3: These include numbers like 3, 6, 9, and 12 within the same range.

Multiples are essential in probability since they help identify specific types of outcomes, such as tickets that are marked with a number that is a multiple of a given set. Identifying multiples correctly is the first step in solving problems that involve them.
Inclusion-Exclusion Principle
The Inclusion-Exclusion Principle is a vital concept in combinatorics and probability for calculating the union of multiple sets. When two or more sets share elements, the principle helps prevent those shared elements from being counted more than once.
For example, when finding tickets that are multiples of 2 or 3:
  • The numbers that are multiples of 2 are: {2, 4, 6, 8, 10, 12}.
  • The numbers that are multiples of 3 are: {3, 6, 9, 12}.
  • By applying the Inclusion-Exclusion Principle, the combined set is {2, 3, 4, 6, 8, 9, 10, 12}, ensuring elements like 6 and 12 are counted only once.

Mastering this principle allows you to accurately calculate scenarios involving overlapping conditions, just like in our ticket problem.
Favorable Outcomes in Probability
In probability, a favorable outcome is an outcome that meets the criteria defined in a given problem. These outcomes form the set you are interested in finding or calculating the probability for.

In our ticket example, the favorable outcomes are the tickets numbered as multiples of 2 or 3 after analyzing through the Inclusion-Exclusion Principle:
  • The favorable set is {2, 3, 4, 6, 8, 9, 10, 12}.
  • There are a total of 8 favorable outcomes.

Understanding these outcomes is crucial because the probability of an event is calculated using:

Probability = (Number of Favorable Outcomes) / (Total Number of Outcomes).
In this context, it results in a probability calculation of \( \frac{8}{12} = \frac{2}{3} \), providing a clear probability that a ticket drawn at random is a multiple of either 2 or 3.

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Most popular questions from this chapter

\(A\) and \(B\) throw a pair of dice. \(A\) wins if he throws 6 before \(B\) throws 7 and \(B\) wins if hethrows 7 before \(A\) throws 6 . If \(A\) begins, what is his chance of winning? (a) \(30 / 61\) [MNR 1995] (c) \(61 / 30\) (1) olution (a) Let \(E_{1}\) denote the event of \(A\) 's throwing 6 and \(E_{2}\) the event of \(B\) 's throwing 7 with a pair of dice. Then \(\bar{E}_{1}, \bar{E}_{2}\) are the complementary events. There are five ways of obtaining 6, namely, \((1,5),(2,4),(3,3),(4,2),(5,1)\) and similarly there are six ways of getting 7 , namely, \((1,6)\), \((2,5),(3,4),(4,3),(5,2),(6,1)\) $$ \therefore P\left(E_{1}\right)=\frac{5}{36} $$ and \(P\left(\bar{E}_{1}\right)=1-\frac{5}{36}=\frac{31}{36}\) $$ P\left(E_{2}\right)=\frac{6}{36}=\frac{1}{6} $$ and \(P\left(\bar{E}_{2}\right)=1-\frac{1}{6}=\frac{5}{6}\) It is given that \(A\) starts the game and he will win in the following mutually exclusive ways. (i) \(E_{1}\) happens, i.e., \(A\) wins at the first draw. (ii) \(\vec{E}_{1} \cap \bar{E}_{2} \cap E_{1}\) happens, i.e., \(A\) wins at the third draw when both \(A\) and \(B\) fail at \(1^{s t}\) and \(2^{\text {nd }}\) draw. (iii) \(\bar{E}_{1} \cap \bar{E}_{2} \cap \bar{E}_{1} \cap \bar{E}_{2} \cap E_{1}\) happens, i.e., \(A\) wins at the \(5^{\text {th }}\) draw when both \(A\) and \(B\) fail at \(1^{\text {st }}, 2^{\text {nd }}, 3^{\text {rd }}\) and \(4^{\text {th }}\) draw and so on \(\ldots\) Hence the required probability of \(A\) winning say \(P(A)\) is given by \(P(A)=P(\mathrm{i})+P(\mathrm{ii})+P(\mathrm{iii})\) \(+\ldots\)throws 7 before \(A\) throws 6 . If \(A\) begins, what is his chance of winning? (a) \(30 / 61\) [MNR 1995] (c) \(61 / 30\) (1) olution (a) Let \(E_{1}\) denote the event of \(A\) 's throwing 6 and \(E_{2}\) the event of \(B\) 's throwing 7 with a pair of dice. Then \(\bar{E}_{1}, \bar{E}_{2}\) are the complementary events. There are five ways of obtaining 6, namely, \((1,5),(2,4),(3,3),(4,2),(5,1)\) and similarly there are six ways of getting 7 , namely, \((1,6)\), \((2,5),(3,4),(4,3),(5,2),(6,1)\) $$ \therefore P\left(E_{1}\right)=\frac{5}{36} $$ and \(P\left(\bar{E}_{1}\right)=1-\frac{5}{36}=\frac{31}{36}\) $$ P\left(E_{2}\right)=\frac{6}{36}=\frac{1}{6} $$ and \(P\left(\bar{E}_{2}\right)=1-\frac{1}{6}=\frac{5}{6}\) It is given that \(A\) starts the game and he will win in the following mutually exclusive ways. (i) \(E_{1}\) happens, i.e., \(A\) wins at the first draw. (ii) \(\vec{E}_{1} \cap \bar{E}_{2} \cap E_{1}\) happens, i.e., \(A\) wins at the third draw when both \(A\) and \(B\) fail at \(1^{s t}\) and \(2^{\text {nd }}\) draw. (iii) \(\bar{E}_{1} \cap \bar{E}_{2} \cap \bar{E}_{1} \cap \bar{E}_{2} \cap E_{1}\) happens, i.e., \(A\) wins at the \(5^{\text {th }}\) draw when both \(A\) and \(B\) fail at \(1^{\text {st }}, 2^{\text {nd }}, 3^{\text {rd }}\) and \(4^{\text {th }}\) draw and so on \(\ldots\) Hence the required probability of \(A\) winning say \(P(A)\) is given by \(P(A)=P(\mathrm{i})+P(\mathrm{ii})+P(\mathrm{iii})\) \(+\ldots\)

The probability distribution of a random variable \(X\) is given below: \(\begin{array}{llll}X=x_{i} & 2 & 3 & 4 \\ P:\left(X=x_{i}\right) & 1 / 4 & 1 / 8 & 5 / 8\end{array}\) Then its mean is (a) \(27 / 8\) (b) \(5 / 4\) (c) 1 (d) \(4 / 5\)

A bag contains 3 white, 3 black and 2 red balls. One by one three balls are drawn without replacing them. The probability that the third ball is red is (a) \(1 / 2\) (b) \(1 / 3\) (c) \(2 / 3\) (d) \(1 / 4\)

In 324 throws of 4 dice, the expected number of times three sixes occur is (a) 81 (b) 5 (c) 9 (d) 31

Let \(S\) be a set containing \(n\) elements. If we select two subsets \(A\) and \(B\) of \(S\) at random then the probability that \(A \cup B=S\) and \(A \cap\) \(B=\phi\) is: [Orissa JEE 2005] (a) \(2^{n}\) (b) \(n^{2}\) (c) \(1 / n\) (d) \(1 / 2^{n}\) Solution (d) Ways of selecting two subsets of \(A=\left(2^{n}\right)^{2}\) Ways of selecting \(A \cup B\) and \(A \cap B\) are \(2^{n}$$\therefore\) Required probability \(=\) $$ \frac{\text { Favourable cases }}{\text { Total cases }}=\frac{2^{n}}{\left(2^{n}\right)^{2}}=\frac{1}{2^{n}} $$

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