Westonci.ca is the ultimate Q&A platform, offering detailed and reliable answers from a knowledgeable community. Our platform offers a seamless experience for finding reliable answers from a network of experienced professionals. Experience the ease of finding precise answers to your questions from a knowledgeable community of experts.
Sagot :
Certainly! Let's break down the problem and find the probability step-by-step.
### Problem Statement
We have a six-sided die, and it is rolled ten times. We are asked to find the probability that it will show an even number at most eight times.
### Explanation and Calculation
1. Definition of Success and Parameters:
- A six-sided die has numbers 1, 2, 3, 4, 5, and 6.
- The even numbers are 2, 4, and 6.
- The probability of rolling an even number (success) in a single roll is [tex]\( \frac{3}{6} = \frac{1}{2} \)[/tex].
2. Number of Trials:
- We roll the die 10 times. So, the number of trials [tex]\( n = 10 \)[/tex].
3. Random Variable:
- Let [tex]\( X \)[/tex] be the random variable that represents the number of times the die shows an even number.
- [tex]\( X \)[/tex] follows a Binomial distribution [tex]\( X \sim \text{Binomial}(n = 10, p = \frac{1}{2}) \)[/tex].
4. Objective:
- We need to find [tex]\( P(X \leq 8) \)[/tex], i.e., the probability that [tex]\( X \)[/tex] is at most 8.
### Binomial Distribution Calculation
- The probability mass function (PMF) of a Binomial distribution is given by:
[tex]\[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \][/tex]
- The cumulative distribution function (CDF) up to [tex]\( k = 8 \)[/tex] gives us [tex]\( P(X \leq 8) \)[/tex].
### Using the Result
Given the problem conditions and the parameters specified:
- Number of trials [tex]\( n = 10 \)[/tex]
- Probability of success [tex]\( p = \frac{1}{2} \)[/tex]
The probability that the die will show an even number at most eight times is calculated as approximately [tex]\( 0.9892578125 \)[/tex].
### Finding the Exact Match
Now we need to match this probability with one of the given answer choices:
- Option A: [tex]\( \frac{1013}{1024} \)[/tex]
[tex]\[ \frac{1013}{1024} \approx 0.9892578125 \][/tex]
- Option B: [tex]\( \frac{1}{2} \)[/tex]
[tex]\[ \frac{1}{2} = 0.5 \][/tex]
- Option C: [tex]\( \frac{37}{250} \)[/tex]
[tex]\[ \frac{37}{250} = 0.148 \][/tex]
- Option D: [tex]\( \frac{247}{250} \)[/tex]
[tex]\[ \frac{247}{250} = 0.988 \][/tex]
Clearly, Option A [tex]\( \frac{1013}{1024} \)[/tex] is the exact match to the calculated probability.
### Conclusion
Hence, the probability that the die will show an even number at most eight times is:
[tex]\[ \boxed{\frac{1013}{1024}} \][/tex]
This corresponds to Option A.
### Problem Statement
We have a six-sided die, and it is rolled ten times. We are asked to find the probability that it will show an even number at most eight times.
### Explanation and Calculation
1. Definition of Success and Parameters:
- A six-sided die has numbers 1, 2, 3, 4, 5, and 6.
- The even numbers are 2, 4, and 6.
- The probability of rolling an even number (success) in a single roll is [tex]\( \frac{3}{6} = \frac{1}{2} \)[/tex].
2. Number of Trials:
- We roll the die 10 times. So, the number of trials [tex]\( n = 10 \)[/tex].
3. Random Variable:
- Let [tex]\( X \)[/tex] be the random variable that represents the number of times the die shows an even number.
- [tex]\( X \)[/tex] follows a Binomial distribution [tex]\( X \sim \text{Binomial}(n = 10, p = \frac{1}{2}) \)[/tex].
4. Objective:
- We need to find [tex]\( P(X \leq 8) \)[/tex], i.e., the probability that [tex]\( X \)[/tex] is at most 8.
### Binomial Distribution Calculation
- The probability mass function (PMF) of a Binomial distribution is given by:
[tex]\[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \][/tex]
- The cumulative distribution function (CDF) up to [tex]\( k = 8 \)[/tex] gives us [tex]\( P(X \leq 8) \)[/tex].
### Using the Result
Given the problem conditions and the parameters specified:
- Number of trials [tex]\( n = 10 \)[/tex]
- Probability of success [tex]\( p = \frac{1}{2} \)[/tex]
The probability that the die will show an even number at most eight times is calculated as approximately [tex]\( 0.9892578125 \)[/tex].
### Finding the Exact Match
Now we need to match this probability with one of the given answer choices:
- Option A: [tex]\( \frac{1013}{1024} \)[/tex]
[tex]\[ \frac{1013}{1024} \approx 0.9892578125 \][/tex]
- Option B: [tex]\( \frac{1}{2} \)[/tex]
[tex]\[ \frac{1}{2} = 0.5 \][/tex]
- Option C: [tex]\( \frac{37}{250} \)[/tex]
[tex]\[ \frac{37}{250} = 0.148 \][/tex]
- Option D: [tex]\( \frac{247}{250} \)[/tex]
[tex]\[ \frac{247}{250} = 0.988 \][/tex]
Clearly, Option A [tex]\( \frac{1013}{1024} \)[/tex] is the exact match to the calculated probability.
### Conclusion
Hence, the probability that the die will show an even number at most eight times is:
[tex]\[ \boxed{\frac{1013}{1024}} \][/tex]
This corresponds to Option A.
Thank you for your visit. We're dedicated to helping you find the information you need, whenever you need it. Your visit means a lot to us. Don't hesitate to return for more reliable answers to any questions you may have. Westonci.ca is your trusted source for answers. Visit us again to find more information on diverse topics.