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Use the following information to answer the next six exercises: A baker is deciding how many batches of muffins to make to sell in his bakery. He wants to make enough to sell every one and no fewer. Through observation, the baker has established a probability distribution. $$\begin{array}{|c|c|}\hline x & {P(x)} \\ \hline 1 & {0.15} \\ \hline 2 & {0.35} \\ \hline 3 & {0.40} \\ \hline 4 & {0.10} \\ \hline\end{array}$$ What is the probability the baker will sell exactly one batch? \(P(x=1)=\)_________

Short Answer

Expert verified
The probability is 0.15.

Step by step solution

01

Understand the Problem

We are asked to find the probability that the baker will sell exactly one batch of muffins. The probability distribution table provides probabilities for different numbers of batches sold.
02

Locate the Probability

From the provided probability distribution, find the probability associated with selling exactly one batch of muffins. This is directly available from the table under the column for \( x=1 \).
03

Read the Probability

According to the table, when \( x=1 \), the probability \( P(x=1) \) is 0.15.
04

Conclude with the Probability

The probability the baker will sell exactly one batch of muffins is 0.15.

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Key Concepts

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

Probability
Probability is the likelihood of an event happening. It is a measure that tells us how often we can expect a particular outcome to occur, out of all possible outcomes. In this exercise, the baker is trying to predict how many batches of muffins he can expect to sell based on the probability of different batch quantities being sold. To put it simply, probability can range from 0 to 1:
  • A probability of 0 means the event will not happen.
  • A probability of 1 means the event is certain to happen.
In our muffin scenario, the baker has figured out these probabilities through observation. For example, he knows there's a probability of 0.15 that exactly one batch will be sold. Understanding probability helps the baker prepare the right amount of muffins, reducing waste and increasing sales.
Probability Table
A probability table is a handy tool that organizes data so we can easily see different outcomes and their associated probabilities. In this muffin example, the table summarizes various scenarios of batch sales and the likelihood of each. The table displays:
  • Different values of batches (e.g., 1, 2, 3, 4).
  • The probability associated with each of these values.
This setup helps the baker quickly identify the chances for each potential outcome. For example, if he wants to find the probability of selling exactly one batch, he can simply look for the corresponding value in the table. This visual layout simplifies understanding of how likely each scenario is.
Discrete Random Variable
A discrete random variable is a type of random variable that takes on a countable number of distinct values. Each value of this variable has a specific probability associated with it. In our baker's case, the number of muffin batches sold is a discrete random variable, as it can only be specific whole numbers like 1, 2, 3, and so on. For discrete random variables:
  • The values are distinct and countable.
  • Each value has an associated probability.
  • The probabilities add up to 1, representing all possible outcomes.
Understanding discrete random variables helps the baker determine the likelihood of selling a certain number of batches, which in turn aids decision-making for daily operations.

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Most popular questions from this chapter

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