Problem 13
Question
\(13-14\) . A ball is drawn randomly from a jar that contains five red balls, two white balls, and one yellow ball. Find the probability of the given event. (a) A red ball is drawn. (b) The ball drawn is not yellow. (c) A black ball is drawn.
Step-by-Step Solution
Verified Answer
(a) \( \frac{5}{8} \); (b) \( \frac{7}{8} \); (c) 0.
1Step 1: Understand the Total Number of Balls
First, calculate the total number of balls in the jar. There are 5 red balls, 2 white balls, and 1 yellow ball. Thus, the total number of balls is calculated as: \[ 5 + 2 + 1 = 8 \] So, there are 8 balls in total.
2Step 2: Calculate Probability of Drawing a Red Ball
To find the probability of drawing a red ball, divide the number of red balls by the total number of balls:\[ P( ext{red}) = \frac{5}{8} \] Therefore, the probability of drawing a red ball is \( \frac{5}{8} \).
3Step 3: Calculate Probability of Drawing a Non-Yellow Ball
To find the probability of drawing a ball that is not yellow, count the number of balls that are not yellow. There are 5 red and 2 white balls, totalling 7 non-yellow balls. Divide the number of non-yellow balls by the total:\[ P( ext{not yellow}) = \frac{7}{8} \] Thus, the probability of drawing a non-yellow ball is \( \frac{7}{8} \).
4Step 4: Calculate Probability of Drawing a Black Ball
Since there are no black balls in the jar, the probability of drawing a black ball is:\[ P( ext{black}) = \frac{0}{8} = 0 \] Therefore, the probability of drawing a black ball is 0.
Key Concepts
Random SelectionEvent ProbabilityColor Probability
Random Selection
Random selection is a foundational concept in probability. It refers to the process of making a choice without any specific pattern, logic, or bias.
In the context of drawing a ball from a jar, each ball has an equal chance of being selected when a random draw is performed.
This means every ball, regardless of its color, has a fair opportunity to be picked. The principle ensures that any specific ball has an unbiased probability based purely on its presence in the group.
In the context of drawing a ball from a jar, each ball has an equal chance of being selected when a random draw is performed.
This means every ball, regardless of its color, has a fair opportunity to be picked. The principle ensures that any specific ball has an unbiased probability based purely on its presence in the group.
- Imagine the jar as a mix of colors and each color representing a set quantity.
- When you choose without looking, you rely on random selection.
Event Probability
Event probability is about finding the likelihood of a specific outcome happening in an experiment.
It's calculated as the ratio of favorable outcomes to the total number of possible outcomes.
For instance, if you're figuring out the probability of drawing a red ball from a jar with 8 balls in total, you would count only the red balls out of the total.
The tricky part is identifying all possible outcomes accurately.
It's calculated as the ratio of favorable outcomes to the total number of possible outcomes.
For instance, if you're figuring out the probability of drawing a red ball from a jar with 8 balls in total, you would count only the red balls out of the total.
- Here, there are 5 red balls out of 8, giving us a probability of \( \frac{5}{8} \).
The tricky part is identifying all possible outcomes accurately.
Color Probability
In problems like the one involving colored balls, color probability highlights how likely it is to pick a ball of a specific color.
Each color's probability depends on how many balls of that color there are compared to the whole set.
Understanding this concept is easier with examples:
Each color's probability depends on how many balls of that color there are compared to the whole set.
Understanding this concept is easier with examples:
- To find the probability of not picking a yellow ball, count the non-yellow balls (which are red and white in this case).
- Thus, we have 7 non-yellow balls out of a total of 8, leading to a probability of \( \frac{7}{8} \).
Other exercises in this chapter
Problem 13
Five independent trials of a binomial experiment with probability of success \(p=0.7\) and probability of failure \(q=0.3\) are performed. Find the probability
View solution Problem 13
Find the number of distinguishable permutations of the given letters. $$ A A B C D $$
View solution Problem 13
Multiple Routes Towns \(\mathrm{A}, \mathrm{B}, \mathrm{C},\) and \(\mathrm{D}\) are located in such a way that there are four roads from \(A\) to \(B\) , five
View solution Problem 14
Sweepstakes A sweepstakes offers a first prize of \(\$ 1,000,000,\) second prize of \(\$ 100,000,\) and third prize of \(\$ 10,000 .\) Suppose that two million
View solution