/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 19 A hat contains 40 marbles. Of th... [FREE SOLUTION] | 91Ó°ÊÓ

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A hat contains 40 marbles. Of them, 18 are red and 22 are green. If one marble is randomly selected out of this hat, what is the probability that this marble is a. red? b. green?

Short Answer

Expert verified
The probability of picking a red marble is 0.45 and the probability of picking a green marble is 0.55.

Step by step solution

01

Identify Total Outcomes

The total number of outcomes is equal to the total number of marbles in the hat. So here, that would be 40.
02

Calculate probability of red marble

The probability of drawing a red marble (P(Red)) can be calculated using the formula: \[ P(Event) = \frac{{Number \: of \: favoourable \: outcomes}}{{Total \: number \: of \: outcomes}}\] Substitute the given values into the formula: \[ P(Red) = \frac{{18}}{{40}}\] \[ = 0.45 \] So the probability of picking a red marble is 0.45.
03

Calculate probability of green marble

Using the same formula, the probability of drawing a green marble (P(Green)) is: \[ P(Green) = \frac{{22}}{{40}}\] \[ = 0.55 \] So the probability of picking a green marble is 0.55.

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Key Concepts

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

Marble Drawing
Marble drawing is a classic example often used to illustrate probability concepts. Imagine a hat filled with marbles. Some are red, and some are green. You are set a task: to draw one marble randomly and determine its color. This action of picking a marble blindly reflects the pure essence of randomness.
The simplest context here is to understand that each marble has an equal chance of being selected. There are no tricks involved, just pure chance. As you imagine reaching into the hat, think of all marbles as equal contenders.
In this type of problem setup, visualizing the total number of marbles can help. If there are 40 marbles in total, either color could be the one you draw, maintaining fairness in the selection process.
Probability Calculation
Probability calculation involves finding the likelihood of a certain event occurring out of all possible outcomes. When calculating probability, we use the formula:
  • \( P(Event) = \frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} \)
This simple formula is a cornerstone of probability theory and helps break down complex scenarios into simpler, clear calculations.
To calculate the probability of drawing a red marble from our hat, count those specifics. There are 18 red marbles. So, the calculation looks like:
  • \( P(Red) = \frac{18}{40} = 0.45 \)
This indicates that there's a 45% chance of picking a red marble.
Similarly, for a green marble, since there are 22 of these, it becomes:
  • \( P(Green) = \frac{22}{40} = 0.55 \)
This translates to a 55% chance of drawing a green marble. Always remember to identify your total outcomes first, as they form the baseline for any probability calculation.
Favorable Outcomes
The term 'favorable outcomes' is crucial in understanding probability. For any random experiment, favorable outcomes are those specific outcomes of interest among the possible. In marble drawing, it's the color of the marble you're interested in.
When posed with the question, "What's the probability of drawing a red marble?", our favorable outcome is simply drawing a red one. Identifying these is the first step in probability calculation. Here, it's straightforward with 18 red marbles listed as favorable.
Importantly, recognizing these helps narrow the scope of what you need to calculate. In any given scenario, define clearly what constitutes a 'favorable' outcome. This can involve counting physical objects, like marbles, or predicting results based on trials or data.
  • For example, in our case, we have 18 favorable outcomes for red marbles and 22 for green marbles.
Grasping this concept ensures a solid foundation for approaching more complex probability problems in future scenarios.

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Most popular questions from this chapter

Powerball is a game of chance that has generated intense interest because of its large jackpots. To play this game, a player selects five different numbers from 1 through 69 , and then picks a Powerball number from 1 through \(26 .\) The lottery organization randomly draws 5 different white balls from 69 balls numbered 1 through 69 , and then randomly picks a red Powerball number from 1 through \(26 .\) Note that it is possible for the Powerball number to be the same as one of the first five numbers. a. If a player's first five numbers match the numbers on the five white balls drawn by the lottery organization and the player's red Powerball number matches the Powerball number drawn by the lottery organization, the player wins the jackpot. Find the probability that a player who buys one ticket will win the jackpot. (Note that the order in which the five white balls are drawn is unimportant.)

In a large city, 15,000 workers lost their jobs last year. Of them, 7400 lost their jobs because their companies closed down or moved, 4600 lost their jobs due to insufficient work, and the remainder lost their jobs because their positions were abolished. If one of these 15,000 workers is selected at random, find the probability that this worker lost his or her job a. because the company closed down or moved b. due to insufficient work c. because the position was abolished Do these probabilities add to \(1.0 ?\) If so, why?

What is the complement of an event? What is the sum of the probabilities of two complementary events?

A statistical experiment has 11 equally likely outcomes that are denoted by \(a, b, c, d, e, f, g, h, i, j\), and \(k .\) Consider three events: \(A=\\{b, d, e, j\\}, B=\\{a, c, f, j\\}\), and \(C=\\{c, g, k\\}\) a. Are events \(A\) and \(B\) independent events? What about events \(A\) and \(C ?\) b. Are events \(A\) and \(B\) mutually exclusive events? What about \(A\) and \(C\) ? What about \(B\) and \(C\) ? c. What are the complements of events \(A, B\), and \(C\), respectively, and what are their probabilities?

A sample of 400 large companies showed that 130 of them offer free health fitness centers to their employees on the company premises. If one company is selected at random from this sample, what is the probability that this company offers a free health fitness center to its employees on the company premises? What is the probability that this company does not offer a free health fitness center to its employees on the company premises? Do these two probabilities add to \(1.0 ?\) If yes, why?

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