Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

A bowl contains 10 chips numbered \(1,2, \ldots, 10\), respectively. Five chips are drawn at random, one at a time, and without replacement. What is the probability that two even-numbered chips are drawn and they occur on even- numbered draws?

Short Answer

Expert verified
The probability that two even-numbered chips are drawn and they occur on even-numbered draws is approximately 0.4.

Step by step solution

01

Determine the total number of outcomes

When 5 chips are drawn from a pool of 10 without replacement, the total number of outcomes can be calculated using combination notation: \( \binom{10}{5} = 252 \).
02

Determine the favorable outcomes

For favorable outcomes, the two even-numbered chips must be drawn on draws 2 and 4. So, there are \( \binom{5}{2} = 10 \) ways to select 2 even-numbered chips, and \( \binom{5}{3} = 10 \) ways to select the remaining 3 odd-numbered chips.
03

Calculate the probability

The probability is the ratio of favorable outcomes to total outcomes. Therefore, \( P = \frac{10 \times 10}{252} \) simplifying this equation results in \( P = \frac{100}{252} = 0.3968 \) or approximately 0.4 when rounded to one decimal place.

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 Vaia!

Key Concepts

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

Permutations and Combinations
Understanding the fundamental difference between permutations and combinations is crucial when solving probability problems that involve the arrangement or selection of objects.

Permutations refer to arrangements where the order matters, while combinations are selections where the order is irrelevant. For instance, if you're drawing chips from a bowl and the sequence in which they're drawn is important, you're dealing with permutations. On the other hand, if only the selected chips matter, regardless of the order, combinations come into play.

In the given exercise, we're looking at combinations. Specifically, we calculate the total number of ways to draw 5 chips from 10 without regard to order, which is denoted as \( \binom{10}{5} \). It's a classic example of a combination, as the sequence of drawing is not considered here—only the fact that 5 chips are drawn out of 10.
Odds and Evens in Probability
Odds and evens often come up in probability problems, particularly in situations with a finite and well-defined set of outcomes. In our exercise, we focus on the probability of drawing even-numbered chips on even-numbered draws. This is a subset of a larger probability space and requires careful calculations.

The concept applies as we need to ensure that our selections meet specific criteria, which complicates the problem. The presence of conditions like drawing even numbers during even draws (second and fourth) has a profound impact on the resulting probability. The calculation combines understanding of both conditional probability and the basic principles of odds and evens within a probability framework.

To solve such problems effectively, it’s important to break down the conditions and understand how they interact with one another. Then, use permutations or combinations to calculate the desired probability accurately. It's also crucial to realize this impacts the nature of the calculation, as we switch from combinations to permutations once sequence-based conditions are introduced.
Mathematical Statistics
Mathematical statistics involves collecting, analyzing, interpreting, and presenting data. It underlies the principles of probability and helps us make sense of what the numbers actually tell us.

In the context of our problem, the calculation of probability is a form of statistical analysis. We gather all possible outcomes (the complete set of all 5-chip draws from the bowl) and then examine a specific event (drawing two even chips on the second and fourth draws). Mathematical statistics includes tools such as combination and permutation calculations, which are essential for solving our example problem.

After determining the number of favorable and possible outcomes, we calculate the probability—a statistical measure that gives us insight into the likelihood of an event occurring. Expressing the probability as a simplified fraction, decimal, or percentage aids clarity and supports better understanding, alignment with standard practices in mathematical statistics. Importantly, the interpretation of the result (in this case, approximately 0.4) is just as vital as the calculation itself, guiding us on the odds of our conditioned event occurring within a defined set of possibilities.

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

Suppose there are three curtains. Behind one curtain there is a nice prize, while behind the other two there are worthless prizes. A contestant selects one curtain at random, and then Monte Hall opens one of the other two curtains to reveal a worthless prize. Hall then expresses the willingness to trade the curtain that the contestant has chosen for the other curtain that has not been opened. Should the contestant switch curtains or stick with the one that she has? To answer the question, determine the probability that she wins the prize if she switches.

Generalize Exercise \(1.2 .5\) to obtain $$ \left(C_{1} \cup C_{2} \cup \cdots \cup C_{k}\right)^{c}=C_{1}^{c} \cap C_{2}^{c} \cap \cdots \cap C_{k}^{c} $$ Say that \(C_{1}, C_{2}, \ldots, C_{k}\) are independent events that have respective probabilities \(p_{1}, p_{2}, \ldots, p_{k} .\) Argue that the probability of at least one of \(C_{1}, C_{2}, \ldots, C_{k}\) is equal to $$ 1-\left(1-p_{1}\right)\left(1-p_{2}\right) \cdots\left(1-p_{k}\right) $$

Suppose we are playing draw poker. We are dealt (from a well-shuffled deck) five cards, which contain four spades and another card of a different suit. We decide to discard the card of a different suit and draw one card from the remaining cards to complete a flush in spades (all five cards spades). Determine the probability of completing the flush.

Let the subsets \(C_{1}=\left\\{\frac{1}{4}

Let \(X\) have the pmf $$ p(x)=\left(\frac{1}{2}\right)^{|x|}, \quad x=-1,-2,-3, \ldots $$ Find the pmf of \(Y=X^{4}\).

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.

Sign-up for free