/*! 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 14 Three distinct integers are chos... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Three distinct integers are chosen at random from the first 20 positive integers. Compute the probability that: (a) their sum is even; (b) their product is even.

Short Answer

Expert verified
The probability that their sum is even is calculated using the combinations formula and dividing favourable outcomes by total outcomes. Similar calculation is done for their product being even.

Step by step solution

01

Calculate Total Combinations

Firstly, find out the total combinations that can be formed by selecting 3 integers out of 20. We can use the combination formula for this, which is \( \binom{n}{r} = \frac{n!}{r!(n-r)!} \). Here \( n = 20 \) and \( r = 3 \), so total combinations = \( \binom{20}{3} \).
02

Calculate Favourable Combinations for Part (a)

Now, calculate the favourable outcomes for the sum being even. The sum of three numbers will be even if all three numbers are even, or two are odd and one is even. First, find the combinations of all three being even. These can be obtained from 10 even numbers in multiple of 3, which is \( \binom{10}{3} \). Then, find out combinations of two odd and one even. There are 10 odd and 10 even numbers. So, favourable combinations = \( \binom{10}{2} \times \binom{10}{1} \). Sum up both these combinations.
03

Calculate Probability for Part (a)

Now, calculate the probability for their sum being even by dividing the favourable outcomes by total outcomes.
04

Calculate Favourable Combinations for Part (b)

Next, for the product being even, it is important to note that as long as one number is even, the product will be even, Hence, consider the combinations where all three chosen numbers are odd, which is \( \binom{10}{3} \). Subtract these combinations from the total combinations to get the favourable outcomes for part (b).
05

Calculate Probability for Part (b)

Calculate the probability for their product being even by dividing the favourable outcomes by total outcomes.

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 91Ó°ÊÓ!

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 \(X\) be the number of gallons of ice cream that is requested at a certain store on a hot summer day. Assume that \(f(x)=12 x(1000-x)^{2} / 10^{12}, 0

A French nobleman, Chevalier de Méré, had asked a famous mathematician, Pascal, to explain why the following two probabilities were different (the difference had been noted from playing the game many times): (1) at least one six in 4 independent casts of a six-sided die; (2) at least a pair of sixes in 24 independent casts of a pair of dice. From proportions it seemed to de Méré that the probabilities should be the same. Compute the probabilities of \((1)\) and \((2)\).

Consider \(k\) continuous-type distributions with the following characteristics: pdf \(f_{i}(x)\), mean \(\mu_{i}\), and variance \(\sigma_{i}^{2}, i=1,2, \ldots, k .\) If \(c_{i} \geq 0, i=1,2, \ldots, k\), and \(c_{1}+c_{2}+\cdots+c_{k}=1\), show that the mean and the variance of the distribution having pdf \(c_{1} f_{1}(x)+\cdots+c_{k} f_{k}(x)\) are \(\mu=\sum_{i=1}^{k} c_{i} \mu_{i}\) and \(\sigma^{2}=\sum_{i=1}^{k} c_{i}\left[\sigma_{i}^{2}+\left(\mu_{i}-\mu\right)^{2}\right]\) respectively.

Assume that \(P\left(C_{1} \cap C_{2} \cap C_{3}\right)>0\). Prove that $$P\left(C_{1} \cap C_{2} \cap C_{3} \cap C_{4}\right)=P\left(C_{1}\right) P\left(C_{2} \mid C_{1}\right) P\left(C_{3} \mid C_{1} \cap C_{2}\right) P\left(C_{4} \mid C_{1} \cap C_{2} \cap C_{3}\right)$$

Find the 25 th percentile of the distribution having pdf \(f(x)=|x| / 4,-2<\) \(x<2\), zero elsewhere.

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.