IDNLearn.com offers a reliable platform for finding accurate and timely answers. Discover thorough and trustworthy answers from our community of knowledgeable professionals, tailored to meet your specific needs.
Sagot :
Let's solve the problem step by step to find the probability distribution for the number of heads occurring in three coin tosses.
### Step 1: Identify the sample space
The sample space, [tex]\( S \)[/tex], for tossing a coin three times consists of all possible sequences of heads (H) and tails (T). There are [tex]\( 2^3 = 8 \)[/tex] possible outcomes:
[tex]\[ S = \{ HHH, HHT, HTH, HTT, THH, THT, TTH, TTT \} \][/tex]
### Step 2: Define the random variable
Let [tex]\( X \)[/tex] be the random variable representing the number of heads in three coin tosses. [tex]\( X \)[/tex] can take on the values 0, 1, 2, or 3.
### Step 3: Count the occurrences of each value of [tex]\( X \)[/tex]
We count how many outcomes in the sample space correspond to each possible number of heads.
- 0 heads:
- Outcome: TTT
- Number of outcomes: 1
- 1 head:
- Outcomes: HTT, THT, TTH
- Number of outcomes: 3
- 2 heads:
- Outcomes: HHT, HTH, THH
- Number of outcomes: 3
- 3 heads:
- Outcome: HHH
- Number of outcomes: 1
### Step 4: Calculate the probabilities
To find the probability of each value of [tex]\( X \)[/tex], we divide the number of outcomes with that value by the total number of outcomes in the sample space.
- Probability that [tex]\( X = 0 \)[/tex] (0 heads):
[tex]\[ P(X = 0) = \frac{\text{Number of outcomes with 0 heads}}{\text{Total number of outcomes}} = \frac{1}{8} = 0.125 \][/tex]
- Probability that [tex]\( X = 1 \)[/tex] (1 head):
[tex]\[ P(X = 1) = \frac{\text{Number of outcomes with 1 head}}{\text{Total number of outcomes}} = \frac{3}{8} = 0.375 \][/tex]
- Probability that [tex]\( X = 2 \)[/tex] (2 heads):
[tex]\[ P(X = 2) = \frac{\text{Number of outcomes with 2 heads}}{\text{Total number of outcomes}} = \frac{3}{8} = 0.375 \][/tex]
- Probability that [tex]\( X = 3 \)[/tex] (3 heads):
[tex]\[ P(X = 3) = \frac{\text{Number of outcomes with 3 heads}}{\text{Total number of outcomes}} = \frac{1}{8} = 0.125 \][/tex]
### Step 5: Summarize the probability distribution
We can now compile our results into a table showing the probability distribution for [tex]\( X \)[/tex]:
[tex]\[ \begin{array}{|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 \\ \hline p(X) & 0.125 & 0.375 & 0.375 & 0.125 \\ \hline \end{array} \][/tex]
Thus, the probability distribution for the number of heads occurring in three coin tosses is:
[tex]\[ \begin{array}{|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 \\ \hline p(X) & \frac{1}{8} & \frac{3}{8} & \frac{3}{8} & \frac{1}{8} \\ \hline \end{array} \][/tex]
### Step 1: Identify the sample space
The sample space, [tex]\( S \)[/tex], for tossing a coin three times consists of all possible sequences of heads (H) and tails (T). There are [tex]\( 2^3 = 8 \)[/tex] possible outcomes:
[tex]\[ S = \{ HHH, HHT, HTH, HTT, THH, THT, TTH, TTT \} \][/tex]
### Step 2: Define the random variable
Let [tex]\( X \)[/tex] be the random variable representing the number of heads in three coin tosses. [tex]\( X \)[/tex] can take on the values 0, 1, 2, or 3.
### Step 3: Count the occurrences of each value of [tex]\( X \)[/tex]
We count how many outcomes in the sample space correspond to each possible number of heads.
- 0 heads:
- Outcome: TTT
- Number of outcomes: 1
- 1 head:
- Outcomes: HTT, THT, TTH
- Number of outcomes: 3
- 2 heads:
- Outcomes: HHT, HTH, THH
- Number of outcomes: 3
- 3 heads:
- Outcome: HHH
- Number of outcomes: 1
### Step 4: Calculate the probabilities
To find the probability of each value of [tex]\( X \)[/tex], we divide the number of outcomes with that value by the total number of outcomes in the sample space.
- Probability that [tex]\( X = 0 \)[/tex] (0 heads):
[tex]\[ P(X = 0) = \frac{\text{Number of outcomes with 0 heads}}{\text{Total number of outcomes}} = \frac{1}{8} = 0.125 \][/tex]
- Probability that [tex]\( X = 1 \)[/tex] (1 head):
[tex]\[ P(X = 1) = \frac{\text{Number of outcomes with 1 head}}{\text{Total number of outcomes}} = \frac{3}{8} = 0.375 \][/tex]
- Probability that [tex]\( X = 2 \)[/tex] (2 heads):
[tex]\[ P(X = 2) = \frac{\text{Number of outcomes with 2 heads}}{\text{Total number of outcomes}} = \frac{3}{8} = 0.375 \][/tex]
- Probability that [tex]\( X = 3 \)[/tex] (3 heads):
[tex]\[ P(X = 3) = \frac{\text{Number of outcomes with 3 heads}}{\text{Total number of outcomes}} = \frac{1}{8} = 0.125 \][/tex]
### Step 5: Summarize the probability distribution
We can now compile our results into a table showing the probability distribution for [tex]\( X \)[/tex]:
[tex]\[ \begin{array}{|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 \\ \hline p(X) & 0.125 & 0.375 & 0.375 & 0.125 \\ \hline \end{array} \][/tex]
Thus, the probability distribution for the number of heads occurring in three coin tosses is:
[tex]\[ \begin{array}{|c|c|c|c|c|} \hline X & 0 & 1 & 2 & 3 \\ \hline p(X) & \frac{1}{8} & \frac{3}{8} & \frac{3}{8} & \frac{1}{8} \\ \hline \end{array} \][/tex]
We appreciate your contributions to this forum. Don't forget to check back for the latest answers. Keep asking, answering, and sharing useful information. Your search for solutions ends here at IDNLearn.com. Thank you for visiting, and come back soon for more helpful information.