Problem 21
Question
Toss two fair coins and find the probability of at least one head.
Step-by-Step Solution
Verified Answer
The probability of at least one head is \( \frac{3}{4} \).
1Step 1: Understand the Sample Space
When you toss two fair coins, each coin has two possible outcomes: Heads (H) or Tails (T). We must list all possible combined outcomes of the two coins. The sample space, which represents all possible outcomes, is: \( \{ (H, H), (H, T), (T, H), (T, T) \} \).
2Step 2: Identify Favorable Outcomes
We want the outcomes where there is at least one head. Let's identify those outcomes from our sample space: \( (H, H) \), \( (H, T) \), and \( (T, H) \). These are the cases where there is at least one head present.
3Step 3: Count Outcomes
Count the total number of possible outcomes in the sample space, which is 4 outcomes in total: \( (H, H), (H, T), (T, H), (T, T) \). Next, count the number of favorable outcomes, which is 3: \( (H, H), (H, T), (T, H) \).
4Step 4: Calculate Probability
The probability of an event is the number of favorable outcomes divided by the total number of outcomes in the sample space. Therefore, the probability of having at least one head is \( \frac{3}{4} \).
Key Concepts
Sample SpaceFavorable OutcomesProbability Calculation
Sample Space
In probability, the concept of sample space is fundamental to understanding how probabilities are calculated.
A sample space includes all possible outcomes of a particular experiment or random event.
For example, when you toss two fair coins, you are creating a scenario where each coin can land either on heads (H) or tails (T).
For two coins, we need to consider the outcome of each coin simultaneously, thus forming pairs of outcomes. The complete list of these outcomes, known as the sample space, is:
Understanding the sample space is crucial as it lays the groundwork for determining probabilities, as we know the number of total possible outcomes.
A sample space includes all possible outcomes of a particular experiment or random event.
For example, when you toss two fair coins, you are creating a scenario where each coin can land either on heads (H) or tails (T).
For two coins, we need to consider the outcome of each coin simultaneously, thus forming pairs of outcomes. The complete list of these outcomes, known as the sample space, is:
- (H, H)
- (H, T)
- (T, H)
- (T, T)
Understanding the sample space is crucial as it lays the groundwork for determining probabilities, as we know the number of total possible outcomes.
Favorable Outcomes
Once we have our sample space established, the next step is to determine the favorable outcomes for the event we are interested in.
A favorable outcome is simply an outcome that matches the criteria we are looking for.
In this exercise, we want to find the probability of getting at least one head when tossing the coins.
Therefore, we look for all outcomes within our sample space that include at least one 'H'. These outcomes are:
Identifying these correctly is key to calculating accurate probabilities, as these are the outcomes that matter in this probability question.
A favorable outcome is simply an outcome that matches the criteria we are looking for.
In this exercise, we want to find the probability of getting at least one head when tossing the coins.
Therefore, we look for all outcomes within our sample space that include at least one 'H'. These outcomes are:
- (H, H) - Both coins show heads
- (H, T) - The first coin shows heads
- (T, H) - The second coin shows heads
Identifying these correctly is key to calculating accurate probabilities, as these are the outcomes that matter in this probability question.
Probability Calculation
Finally, with both the sample space and the favorable outcomes identified, we can proceed to calculate the probability of the event.
Probability itself is defined as the ratio of the number of favorable outcomes to the total number of possible outcomes in the sample space.
For the coin toss scenario, the sample space contains 4 outcomes:
This simple division formula helps to transform the complex concept of probability into something easily grasped and applied.
Probability itself is defined as the ratio of the number of favorable outcomes to the total number of possible outcomes in the sample space.
For the coin toss scenario, the sample space contains 4 outcomes:
- (H, H)
- (H, T)
- (T, H)
- (T, T)
- (H, H)
- (H, T)
- (T, H)
This simple division formula helps to transform the complex concept of probability into something easily grasped and applied.
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