Problem 27
Question
A coin is weighted so that heads is four times as likely as tails to occur. What probability should be assigned to heads? to tails?
Step-by-Step Solution
Verified Answer
The probability of heads is \( \frac{4}{5} \) and the probability of tails is \( \frac{1}{5} \).
1Step 1: Identify the Problem
Determine the probabilities assigned to heads and tails, given that heads is four times as likely as tails.
2Step 2: Define Variables
Let the probability of getting tails be denoted as \( P(T) = p \). Since heads is four times as likely as tails, let the probability of getting heads be denoted as \( P(H) = 4p \).
3Step 3: Set Up the Equation
The total probability of all outcomes must sum to 1. Therefore, we can write the equation: \[ P(H) + P(T) = 1 \] Substitute the probabilities from the previous step: \[ 4p + p = 1 \]
4Step 4: Solve for p
Combine like terms and solve for \( p \): \[ 5p = 1 \] Divide both sides by 5: \[ p = \frac{1}{5} \]
5Step 5: Calculate Probabilities
Now that we have \( p \), we can find \( P(T) \) and \( P(H) \): \[ P(T) = p = \frac{1}{5} \] \[ P(H) = 4p = 4 \times \frac{1}{5} = \frac{4}{5} \]
Key Concepts
Probability CalculationWeighted OutcomesBasic Algebra
Probability Calculation
Probability helps us understand the likelihood of an event occurring. It's usually expressed as a number between 0 and 1. A probability of 0 means the event will not happen, while a probability of 1 means the event will definitely happen.
To calculate the probability, we take the number of favorable outcomes and divide it by the total number of possible outcomes. For example, the probability of flipping a fair coin and getting heads is \[ P(H) = \frac{1}{2} \]
In our weighted coin problem, however, the probabilities are different because the coin is not fair. Instead, heads is four times more likely than tails. This makes calculating the probabilities a bit different, but the total must still sum to 1.
To calculate the probability, we take the number of favorable outcomes and divide it by the total number of possible outcomes. For example, the probability of flipping a fair coin and getting heads is \[ P(H) = \frac{1}{2} \]
In our weighted coin problem, however, the probabilities are different because the coin is not fair. Instead, heads is four times more likely than tails. This makes calculating the probabilities a bit different, but the total must still sum to 1.
Weighted Outcomes
Weighted outcomes refer to situations where different results have different chances of happening. This contrasts with fair situations where each outcome is equally likely.
In the case of our weighted coin, heads being four times as likely as tails changes the distribution. We need to assign probabilities that reflect this weighing.
Firstly, we let the probability of tails be \ (P(T) = p) \. Since heads is four times as likely, we set \( P(H) = 4p \). The total probability must remain 1, leading us to the equation \[ P(H) + P(T) = 1 \]
In the case of our weighted coin, heads being four times as likely as tails changes the distribution. We need to assign probabilities that reflect this weighing.
Firstly, we let the probability of tails be \ (P(T) = p) \. Since heads is four times as likely, we set \( P(H) = 4p \). The total probability must remain 1, leading us to the equation \[ P(H) + P(T) = 1 \]
Basic Algebra
Basic algebra involves solving equations to find unknown values. In our probability problem, we had to set up and solve an equation to find the probabilities of heads and tails.
We started with the equation \[ P(H) + P(T) = 1 \] and substituted our values for the weighted coin: \[ 4p + p = 1 \]Combining like terms, we get: \[ 5p = 1 \] Next, we solve for \( p \) by dividing both sides by 5: \[ p = \frac{1}{5} \] Finally, plugging it back in gives us the probabilities: \[ P(T) = \frac{1}{5} \] and \[ P(H) = 4 \times \frac{1}{5} = \frac{4}{5} \]
We started with the equation \[ P(H) + P(T) = 1 \] and substituted our values for the weighted coin: \[ 4p + p = 1 \]Combining like terms, we get: \[ 5p = 1 \] Next, we solve for \( p \) by dividing both sides by 5: \[ p = \frac{1}{5} \] Finally, plugging it back in gives us the probabilities: \[ P(T) = \frac{1}{5} \] and \[ P(H) = 4 \times \frac{1}{5} = \frac{4}{5} \]
Other exercises in this chapter
Problem 25
How many four-digit numbers can be formed using the digits \(0,1,2,3,4,5,6,7,8,\) and 9 if the first digit cannot be 0 ? Repeated digits are allowed.
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List all the permutations of 6 objects \(1,2,3,4,5,\) and 6 choosing 3 at a time without repetition. What is \(P(6,3) ?\)
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List all the combinations of 5 objects \(a, b, c, d,\) and \(e\) taken 3 at a time. What is \(C(5,3) ?\)
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In a consumer survey of 500 people, 200 indicated that they would be buying a major appliance within the next month, 150 indicated that they would buy a car, an
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