Problem 32
Question
One ticket is selected at random from 50 tickets numbered \(00,01,02, \ldots, 49 .\) The probability that the sum of the digits on the selected ticket is 8 , given that the product of these digits is zero, equals [AIEEE-2009] (a) \(\frac{1}{14}\) (b) \(\frac{1}{7}\) (c) \(\frac{5}{14}\) (d) \(\frac{1}{50}\)Solution (a) \(S=(00,01,02, \ldots, 49)\) Let \(A\) be the even that sum of the digits on the selected ticket is 8 then \(A=\\{08,17,26,35,44\\}\) Let \(B\) be the event that the product of the digits is zero. $$ \begin{aligned} &B=\\{00,01,02,03, \ldots, 09,10,20,30,40\\} \\ &A \cap B=\\{08\\} \\ &P(A / B)=\frac{P(A \cap B)}{P(B)}=\frac{n(A \cap B)}{n(B)}=\frac{1}{14} \end{aligned} $$
Step-by-Step Solution
Verified Answer
The probability is \( \frac{1}{14} \).
1Step 1: Understand the Problem
We're given 50 tickets numbered from 00 to 49. We need to find the probability that the sum of the digits on a selected ticket is 8, given that the product of these digits is zero.
2Step 2: Define Relevant Events
Let \( A \) be the event where the sum of the digits on the selected ticket is 8, and \( B \) be the event where the product of the digits on the ticket is zero.
3Step 3: List Possible Outcomes for Event A
Event \( A \) represents the condition where the sum of the digits equals 8. Possible tickets are: 08 (0+8), 17 (1+7), 26 (2+6), 35 (3+5), and 44 (4+4).
4Step 4: List Possible Outcomes for Event B
Event \( B \) includes tickets where the product of the digits is zero. These tickets include any number with at least one digit as zero: 00 to 09, 10, 20, 30, and 40.
5Step 5: Determine Outcomes in Both A and B
Find tickets where both events happen, i.e., \( A \cap B \). This is where the sum is 8 and the product is zero: only ticket 08 satisfies this (0+8).
6Step 6: Calculate the Probability
Event \( B \) has 14 outcomes (00 to 09, 10, 20, 30, 40). Thus, \( n(B) = 14 \). Event \( A \cap B \) has 1 outcome, so \( n(A \cap B) = 1 \). The conditional probability \( P(A|B) = \frac{n(A \cap B)}{n(B)} = \frac{1}{14} \).
Key Concepts
Probability TheoryAlgebraic Problem SolvingMathematics for Engineering Exams
Probability Theory
Probability theory is foundational in understanding whether certain outcomes are likely or unlikely. In the exercise involving the tickets, we're dealing with conditional probability. This is the probability of an event occurring, given that another event has already happened.
For the problem at hand, we define two events:
For the problem at hand, we define two events:
- Event A: The sum of the digits on the ticket is 8.
- Event B: The product of the digits is zero.
- \(P(A|B) = \frac{P(A \cap B)}{P(B)}\)
Algebraic Problem Solving
Algebraic problem solving is a skill used to decode complex problems by reasoning and calculating step by step. In this problem, algebra helps us to list and identify possible outcomes.
Starting with the total set of outcomes, we use algebraic thinking to define subsets. Each subset matches one of the defined conditions. For instance:
Starting with the total set of outcomes, we use algebraic thinking to define subsets. Each subset matches one of the defined conditions. For instance:
- Event A (sum of digits = 8): We logically list all possible tickets: 08, 17, 26, 35, 44.
- Event B (product of digits = 0): This includes all tickets with at least one zero: 00, 01, 02, and so on up to 40.
Mathematics for Engineering Exams
Mathematics, particularly in engineering exams, often challenges students to demonstrate their problem-solving abilities using rigorous methods. This ticket problem is a classic example, testing one's grasp on probability and combinatorial logic.
To excel, students need to:
To excel, students need to:
- Identify the conditions provided in the problem.
- Apply logical reasoning to determine which conditions overlap.
- Calculate outcomes methodically to isolate the correct solution.
Other exercises in this chapter
Problem 31
\(A\) six faced fair die is thrown until 1 comes. The probability that 1 comes in even number of trials is (a) \(5 / 11\) (b) \(6 / 11\) (c) \(5 / 6\) (d) \(1 /
View solution Problem 32
By Bayes' theorem, which one of the following probabilities is calculated? (a) Priorp robability (b) Likelihood probability (c) Posterior probability (d) Condit
View solution Problem 33
A random variable \(X\) has the probability distribution: \(\begin{array}{lcccccccc}X & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\ P(X) & 0.15 & 0.23 & 0.12 & 0.10 & 0.20
View solution Problem 34
A pair of fair dice is thrown independently, 4 times. The probability of getting a sum of exactly 7 twice is: (a) \(\frac{5}{81}\) (b) \(\frac{25}{243}\) (c) \(
View solution