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If three integers are selected, at random and without replacement, from \(\\{1,2,3, \ldots, 99,100\\}\), what is the probability their sum is even?

Short Answer

Expert verified
The probability that the sum of three randomly selected numbers from 1 to 100 is even is ((50 choose 3) + (50 choose 2) * (50 choose 1)) / (100 choose 3).

Step by step solution

01

Understanding even and odd numbers

Understand that an even number can be formed by adding two odd numbers or two even numbers together. This is because even numbers are divisible by 2, and the sum of two odd numbers or two even numbers is also divisible by 2. Conversely, adding an odd and an even number results in an odd number.
02

Looking at possible combinations

As we have to select three numbers, there could be two scenarios for the sum to be even. Either all three numbers are even, which is (50 choose 3), or there are two odd numbers and one even number, which is (50 choose 2) * (50 choose 1).
03

Calculate the total number of ways

The total number of ways to select three numbers from 100 is (100 choose 3).
04

Calculate the probability

The probability is then (number of favorable outcomes) divided by (total number of outcomes), which equals to ((50 choose 3) + (50 choose 2) * (50 choose 1)) / (100 choose 3).

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Key Concepts

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

Even and Odd Numbers
Understanding whether a number is even or odd is essential in combinatorial probability. Odd numbers are not divisible by 2, while even numbers are. When adding numbers, the sum of two odd numbers or two even numbers results in an even number. For example, 3 and 5 (both odd) sum to 8, an even number, while 4 and 6 (both even) also sum to 10, another even number. Conversely, combining one even and one odd number results in an odd sum. This characteristic is foundational when analyzing numerical combinations and their probabilities. Recognizing these arithmetic rules helps in determining combinations that yield an even number, which is the goal when calculating certain probabilities.
Combinatorial Combinations
In probability problems, the use of combinations is crucial as it helps determine the different ways items can be selected. Combination formulas are used when the order of selecting items does not matter. For example, when choosing three numbers from a set of 100, the total number of combinations is calculated using the formula \(\binom{n}{r} = \frac{n!}{r!(n-r)!}\), where \(n\) is the total number of items, and \(r\) is the number of selections. In this problem, the formula helps find the two scenarios leading to an even sum: selecting all three numbers as even or two odd numbers with one even. The combinations are calculated as follows: for three even numbers, it’s \(\binom{50}{3}\), and for two odd numbers with one even, it's \(\binom{50}{2} \times \binom{50}{1}\). These calculations show how many ways the favorable conditions can occur.
Probability Calculation
Probability calculation is the ratio of the number of favorable outcomes to the total number of possible outcomes. To find the probability that the sum of three selected numbers is even, we need to first determine the favorable outcomes using combinations. There are two favorable setups: all three chosen numbers are even, or two numbers are odd, and one is even. The computed combinations from these situations become our numerator. The denominator is the total possible combinations of selecting any three numbers from the set of 100, expressed as \(\binom{100}{3}\). Hence, the probability formula is: \[\frac{\left(\binom{50}{3} + \binom{50}{2} \times \binom{50}{1}\right)}{\binom{100}{3}}\]. This formula gives the likelihood of the sum being even, providing a clear path to find the desired probability.

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Most popular questions from this chapter

Let \(X\) be a random variable with probability distribution $$ \operatorname{Pr}(X=x)= \begin{cases}c\left(x^{2}+4\right), & x=0,1,2,3,4 \\\ 0, & \text { otherwise }\end{cases} $$ where \(c\) is a constant. Determine (a) the value of \(c\); (b) \(\operatorname{Pr}(X>1)\); (c) \(\operatorname{Pr}(X=3 \mid X \geq 2)\) (d) \(E(X) ;\) and (e) \(\operatorname{Var}(X)\).

The binary string 101101 , where the string is unchanged upon reversing order, is called a palindrome (of length 6\()\). Suppose a binary string of length 6 is randomly generated, with 0 , 1 equally likely for each of the six positions in the string. What is the probability the string is a palindrome if the first and sixth bits (a) are both \(1 ;\) (b) are the same?

a) If the letters in the acronym WYSIWYG are arranged in a random manner, what is the probability the arrangement starts and ends with the same letter? b) What is the probability that a randomly generated arrangement of the letters in WYSIWYG has no pair of consecutive identical letters?

Ninety percent of new airport-security personnel have had prior training in weapon detection. During their first month on the job, personnel without prior training fail to detect a weapon \(3 \%\) of the time, while those with prior training fail only \(0.5 \%\) of the time. What is the probability a new airport-security employee, who fails to detect a weapon during the first month on the job, has had prior training in weapon detection?

Give a combinatorial argument to show that for integers \(n, r\) with \(n \geq r \geq 2\), $$ \left(\begin{array}{c} n+2 \\ r \end{array}\right)=\left(\begin{array}{c} n \\ r \end{array}\right)+2\left(\begin{array}{c} n \\ r-1 \end{array}\right)+\left(\begin{array}{c} n \\ r-2 \end{array}\right) $$

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