Problem 11
Question
If three coins are flipped, find the probability that exactly two heads turn up.
Step-by-Step Solution
Verified Answer
The probability of getting exactly two heads is \(\frac{3}{8}\).
1Step 1: Understand the Problem
We need to calculate the probability of getting exactly two heads when three coins are flipped. First, we determine the total number of possible outcomes.
2Step 2: Determine the Total Possible Outcomes
Each coin has 2 possible outcomes: heads (H) or tails (T). Since there are three coins, the total number of possible outcomes is given by multiplying the outcomes together: \[2 \times 2 \times 2 = 8\] So, there are 8 possible outcomes when flipping three coins.
3Step 3: Identify Favorable Outcomes
Next, identify the outcomes that result in exactly two heads. The combinations are: HHT, HTH, and THH. These are the sequences where exactly two out of the three coins show heads.
4Step 4: Count the Favorable Outcomes
Count the outcomes identified in the previous step. We have three favorable outcomes: HHT, HTH, THH.
5Step 5: Calculate the Probability
The probability of an event is given by the number of favorable outcomes divided by the total number of possible outcomes. Thus, the probability is:\[P(\text{exactly 2 heads}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}} = \frac{3}{8}\]
6Step 6: Simplify the Result if Necessary
In this case, the fraction \(\frac{3}{8}\) is already in its simplest form.
Key Concepts
CombinatoricsEvent OutcomesCoin Flip
Combinatorics
Combinatorics is a branch of mathematics that deals with counting and arranging objects. It's especially useful when determining the likelihood of different outcomes in probability experiments. In our exercise, we're flipping three coins and looking at how they can land, which is a classic setting for applying combinatorics.
When dealing with multiple events (like flipping several coins), each event's choices multiply together to determine the total number of possible outcomes. In this case, each coin flip has 2 possibilities: heads or tails. If you flip three coins, you use the multiplication principle to find the total number of outcomes:
Using combinatorics allows us to systematically count all possible arrangements, which is crucial for calculating probabilities.
When dealing with multiple events (like flipping several coins), each event's choices multiply together to determine the total number of possible outcomes. In this case, each coin flip has 2 possibilities: heads or tails. If you flip three coins, you use the multiplication principle to find the total number of outcomes:
- First coin: 2 outcomes (H or T)
- Second coin: 2 outcomes (H or T)
- Third coin: 2 outcomes (H or T)
Using combinatorics allows us to systematically count all possible arrangements, which is crucial for calculating probabilities.
Event Outcomes
Event outcomes are the various results that can occur from a specific experiment or trial, like flipping a coin. In this exercise, the experiment involves flipping three coins simultaneously.
Outcomes can be organized in several ways:
Outcomes can be organized in several ways:
- Listing all scenarios, e.g., HHH, HHT, HTH, etc.
- Selecting sequences that meet certain criteria, like exactly two heads.
- HHT
- HTH
- THH
Coin Flip
A coin flip is a simple example of a binary event—meaning it has only two possible outcomes: heads (H) or tails (T). Because of its simplicity, a coin flip is often used in probability examples to illustrate basic concepts, such as independent events and probability calculations.
When you flip multiple coins, each flip stands alone. The outcome of one flip doesn't affect another; this is known as independence. For instance, the result of flipping the first coin (whether heads or tails) does not change the outcomes of the second and third flips.
Calculating the probability of specific results from multiple coin flips involves examining possible sequences of outcomes. For "exactly two heads" in three flips, we list sequences that meet the condition and count them. In our example, this gave us three favorable outcomes out of eight total. Finally, the probability is found by dividing the number of favorable outcomes by the total outcomes:\[ P(\text{exactly 2 heads}) = \frac{3}{8} \] Understanding how independent events like coin flips work will help you grasp more complex probability scenarios.
When you flip multiple coins, each flip stands alone. The outcome of one flip doesn't affect another; this is known as independence. For instance, the result of flipping the first coin (whether heads or tails) does not change the outcomes of the second and third flips.
Calculating the probability of specific results from multiple coin flips involves examining possible sequences of outcomes. For "exactly two heads" in three flips, we list sequences that meet the condition and count them. In our example, this gave us three favorable outcomes out of eight total. Finally, the probability is found by dividing the number of favorable outcomes by the total outcomes:\[ P(\text{exactly 2 heads}) = \frac{3}{8} \] Understanding how independent events like coin flips work will help you grasp more complex probability scenarios.
Other exercises in this chapter
Problem 10
Exer. 3-10: Find the \(n\)th term, the fifth term, and the tenth term of the arithmetic sequence. $$ \log 1000, \log 100, \log 10, \log 1, \ldots $$
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Find the number of distinguishable permutations of the letters in the word bookkeeper.
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Evaluate the expression. $$ \left(\begin{array}{c} 13 \\ 4 \end{array}\right) $$
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