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In Exercises 5 - 14, calculate the binomial coefficient. \( \dbinom{100}{98} \)

Short Answer

Expert verified
The binomial coefficient \(\dbinom{100}{98}\) is 4950.

Step by step solution

01

Apply the binomial coefficient formula

We can calculate the binomial coefficient using its formula: \(\dbinom{100}{98} = \frac{100!}{98! * (100-98)!}\). This simplifies to \(\dbinom{100}{98} = \frac{100!}{98! * 2!}\)
02

Simplify the factorial terms

Next, consider that \(n!\) is equal to \(n * (n-1)!\). Thus, \(100!\) can be written as \(100 * 99 * 98!\) and \(2!\) is simply \(2\). Now the expression becomes \(\dbinom{100}{98} = \frac{100 * 99 * 98!}{98! * 2}\). Notice that \(98!\) cancels out in the numerator and the denominator.
03

Compute the binomial coefficient

Now we are left with a simple multiplication and division: \(\dbinom{100}{98} = \frac{100 * 99}{2}\). Performing the calculation yields \(\dbinom{100}{98} = 4950\).

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Key Concepts

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

Factorial Concepts
Factorials are a fundamental concept in mathematics, especially in permutations and combinations. The factorial of a non-negative integer, denoted by an exclamation mark (!), represents the product of all positive integers up to that number. For instance, the factorial of 5 is written as \(5!\), and calculated as \(5 \times 4 \times 3 \times 2 \times 1 = 120\).
Factorials grow very quickly as numbers increase, which makes them crucial in calculations involving large sets, such as binomial coefficients.
An important property of factorials is that \(n! = n \times (n-1)!\). This recursive relationship is often used to simplify calculations, like when simplifying the expression \(100! = 100 \times 99 \times 98!\). By mastering factorials, you gain insight into the backbone of various combinatorial calculations.
Combinatorics
Combinatorics is the branch of mathematics dealing with combinations of objects. It plays a crucial role in calculating probabilities, arrangements, and combinations efficiently. A key concept is the binomial coefficient, often denoted as \(\binom{n}{r}\).
The binomial coefficient \(\binom{n}{r}\) represents the number of ways to select \(r\) objects from a set of \(n\) objects, without concern for the order of selection. It is calculated using the formula:
  • \(\binom{n}{r} = \frac{n!}{r!(n-r)!}\)
In our example, \(\binom{100}{98}\) means choosing 98 objects from a set of 100. The order doesn't matter, which is why we use this coefficient rather than permutations.
Understanding combinatorics is essential for solving many types of math problems, from probability theory to algebra. Mastery involves being proficient with concepts such as factorial and the use of formulas like the binomial coefficient.
Calculation Methods
When approaching calculations involving factorials and binomial coefficients, it is essential to simplify your expressions. One way to do this is by recognizing patterns or properties within the factorial expressions.
For example, in computing \(\binom{100}{98}\), notice that \(100!\) can be expanded to \(100 \times 99 \times 98!\). The \(98!\) terms in the numerator and denominator cancel each other out, simplifying the expression to \(\frac{100 \times 99}{2}\).
Using this simplification reduces the calculation's complexity, making it easier and quicker to find solutions. Breaking down problems into smaller, simpler components is a common strategy in mathematics, particularly in combinatorics and probability.
To further ease calculations, making mental notes of smaller factorial values (like \(2! = 2\) or \(3! = 6\)) is helpful, allowing quicker simplification and computation.

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Most popular questions from this chapter

In Exercises 15 - 20, find the probability for the experiment of tossing a coin three times. Use the sample space \( S = {HHH, HHT, HTH, HTT, THH, THT, TTH, TTT} \). The probability of getting a head on the first toss

Write a short paragraph defining the following. (a) Sample space of an experiment (b) Event (c) The probability of an event \( E \) in a sample space \( S \) (d) The probability of the complement of \( E \)

Consider a group of people. (a) Explain why the following pattern gives the probabilities that the people have distinct birthdays. \( n = 2: \dfrac{365}{365} \cdot \dfrac{364}{365} = \dfrac{365 \cdot 364}{365^2} \) \( n = 3: \dfrac{365}{365} \cdot \dfrac{364}{365} \cdot \dfrac{363}{365} = \dfrac{365 \cdot 364 \cdot 363}{365^3} \) (b) Use the pattern in part (a) to write an expression for the probability that \( n = 4 \) people have distinct birthdays. (c) Let \( P_n \) be the probability that the \( n \) people have distinct birthdays. Verify that this probability can be obtained recursively by \( P_1 = 1 \) and \( P_n = \dfrac{365 - (n - 1)}{365} P_{n - 1} \). (d) Explain why \( Q_n = 1 - P_n \) gives the probability that at least two people in a group of \( n \) people have the same birthday. (e) Use the results of parts (c) and (d) to complete the table. (f) How many people must be in a group so that the probability of at least two of them having the same birthday is greater than \( \dfrac{1}{2} \)? Explain.

In Exercises 35 - 38, you are given the probability that an event will happen. Find the probability that the event will not happen. \( P(E) = 0.36 \)

In Exercises 31 - 34, find the probability for the experiment of drawing two marbles (without replacement) from a bag containing one green, two yellow, and three red marbles. Both marbles are yellow.

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