Math Problem Statement
A biased dice is thrown thirty times and the number of sixes seen is eight.
If the dice is thrown a further twelve times, find the probability that a six will occur exactly twice.
The answer is rounded up to 4 decimal places.
0.2111
0.2222
0.2099
0.2345
Solution
To solve this problem, we need to calculate the probability of rolling exactly two sixes in twelve throws of a biased die, based on the information that the die was thrown 30 times with 8 sixes previously observed.
Step 1: Estimate the probability of rolling a six
We can estimate the probability of rolling a six from the data given. The die was thrown 30 times, and 8 sixes were observed. So, the empirical probability of rolling a six is:
Step 2: Use the binomial distribution
Now that we have , we can use the binomial distribution to calculate the probability of rolling exactly 2 sixes in the next 12 throws.
The binomial probability formula is:
Where:
- (the number of additional throws),
- (we want exactly 2 sixes),
- (probability of rolling a six),
- (probability of not rolling a six).
Step 3: Calculate the binomial coefficient
We first calculate the binomial coefficient:
Step 4: Compute the probability
Now, we compute the probability:
Breaking this down:
This is an approximation. Now, applying the exact value using a calculator gives a more accurate result:
Final Answer:
The probability of rolling exactly two sixes in twelve throws is approximately 0.2099.
Thus, the correct answer is:
Do you want further details or have any questions?
Related Questions:
- How does the probability change if the dice was rolled 40 times instead of 12?
- What is the probability of getting at least one six in the next 12 throws?
- How would you calculate the expected number of sixes in the next 12 throws?
- What is the probability of getting exactly three sixes in the next 12 throws?
- How would the probability change if the number of trials increased to 20?
Tip:
When using binomial probabilities, remember to double-check the binomial coefficient and the powers of and for accuracy in larger problems.
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Math Problem Analysis
Mathematical Concepts
Probability
Binomial Distribution
Formulas
Binomial probability formula: P(X = k) = (n choose k) * p^k * (1 - p)^(n - k)
Empirical probability: p = number of successes / number of trials
Theorems
Binomial Theorem
Suitable Grade Level
Grades 10-12
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