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If the binomial \((q+p)\) is squared, the result is \((q+p)^{2}=q^{2}+2 q p+p^{2} .\) For the binomial experiment with \(n=2,\) the probability of no successes in two trials is \(q^{2}\) (the first term in the expansion), the probability of one success in two trials is \(2 q p\) (the second term in the expansion), and the probability of two successes in two trials is \(p^{2}\) (the third term in the expansion). Find \((q+p)^{3}\) and compare its terms to the binomial probabilities for \(n=3\) trials.

Short Answer

Expert verified
The expanded form of \((q+p)^{3}\) is \(q^{3}+3q^{2}p+3qp^{2}+p^{3}\). Each term of this expansion represent probability of 0, 1, 2, and 3 successes in 3 trials respectively, when using the binomial model.

Step by step solution

01

Expand the Binomial

Expand the binomial \((q+p)^{3}\) using binomial theorem or Pascal's triangle. The binomial expansion of \((q+p)^{3}\) results in \(q^{3}+3q^{2}p+3qp^{2}+p^{3}\)
02

Identify Corresponding Probabilities

The first term \(q^{3}\) represents the probability of no success in three trials. The second term \(3q^{2}p\) represents the probability of one success in three trials. The third term \(3qp^{2}\) symbolizes the likelihood of two successes in three trials. Lastly, the term \(p^{3}\) stands for the probability of three successes in three trials.
03

Interpret the Results

The terms in the expansion of \((q+p)^{3}\) have equivalences in the binomial model when n=3. Each term of the expansion corresponds to the probabilities of 0, 1, 2 and 3 successes in 3 trials, respectively.

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Key Concepts

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

Probability in Binomial Experiments
Probability is a way to measure the likelihood of an event happening. In a binomial experiment, which consists of repeated trials, probability helps us predict the number of successes. Each trial can result in success (probability \( p \)) or failure (probability \( q \)), where \( p + q = 1 \).

This exercise explores a binomial setting where we assess outcomes over multiple trials:
  • The probability of no successes in \( n \) trials follows the pattern \( q^n \).
  • One success involves a combination of successful and unsuccessful attempts, like \( 2qp \) for 2 trials.
  • Similarly, the probability of exactly two successes in two trials will follow \( p^2 \).
Each term in a binomial expansion can represent these probabilities as we increase the number of trials, allowing us to link mathematical expressions to real-world probabilities.
Binomial Expansion
Binomial expansion is a technique used to expand expressions of the form \((a+b)^n\). The binomial theorem provides a formula to do this:\[ (a + b)^n = \sum_{k=0}^{n} \binom{n}{k} a^{n-k} b^k \]Here, \( \binom{n}{k} \) represents the binomial coefficient, which helps us calculate the number of ways to choose \( k \) successes from \( n \) trials.

This exercise expands \((q+p)^3\) into \( q^3 + 3q^2p + 3qp^2 + p^3 \). Each term corresponds to a probability for a specific number of successes.
  • \( q^3 \) for zero successes
  • \( 3q^2p \) for one success
  • \( 3qp^2 \) for two successes
  • \( p^3 \) for three successes
By expanding a binomial expression, we can easily find and interpret these probabilities for any number of trials.
Pascal's Triangle and the Binomial Theorem
Pascal's Triangle is a simple yet powerful tool in combinatorics and binomial expansions. It presents the coefficients for binomial expansions visually. Each row corresponds to the coefficients that appear in the expansion of \((a+b)^n\).

To illustrate, the third row, \(1, 3, 3, 1\), gives the coefficients for the expansion of \((q+p)^3\), which matches exactly with our terms:
  • \(1 \cdot q^3\) for no successes
  • \(3 \cdot q^2p\) for one success
  • \(3 \cdot qp^2\) for two successes
  • \(1 \cdot p^3\) for three successes
By using Pascal’s Triangle, we quickly identify these coefficients, making the process of expanding binomials easier and connecting them to probabilities straightforward and intuitive. This visual approach complements the algebraic Binomial Theorem, providing additional insights into probability calculations.

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