A coin is tossed 12 times. What is the probability of getting exactly 6 tails?
What is the probability of getting 6 consecutive tails?
What is the probability of getting 6 consecutive tails?
The probability is
Now let us consider the following:
Here,
Now, substituting this into (1), we get
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To find the probability of getting exactly 6 tails when a coin is tossed 12 times, you can use the binomial probability formula, which is:
[ P(X = k) = \binom{n}{k} \times p^k \times (1-p)^{n-k} ]
Where:
- ( n ) is the number of trials (in this case, 12 tosses).
- ( k ) is the number of successes (in this case, 6 tails).
- ( p ) is the probability of success on each trial (for a fair coin, ( p = 0.5 )).
- ( \binom{n}{k} ) represents the number of combinations of ( n ) items taken ( k ) at a time.
Substitute the values into the formula:
[ P(X = 6) = \binom{12}{6} \times (0.5)^6 \times (1-0.5)^{12-6} ]
[ P(X = 6) = \binom{12}{6} \times (0.5)^6 \times (0.5)^6 ]
Calculate:
[ P(X = 6) = \binom{12}{6} \times (0.5)^{12} ]
[ P(X = 6) = \frac{12!}{6!(12-6)!} \times 0.5^{12} ]
[ P(X = 6) = \frac{479001600}{720 \times 720} \times 0.5^{12} ]
[ P(X = 6) = \frac{479001600}{518400} \times 0.5^{12} ]
[ P(X = 6) ≈ 0.2256 ]
So, the probability of getting exactly 6 tails when a coin is tossed 12 times is approximately 0.2256.
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To find the probability of getting exactly 6 tails when a coin is tossed 12 times, you can use the binomial probability formula.
The binomial probability formula is:
[ P(X = k) = \binom{n}{k} \times p^k \times (1-p)^{n-k} ]
Where:
- ( n ) is the total number of trials (in this case, the number of coin tosses)
- ( k ) is the number of successes (in this case, the number of tails)
- ( p ) is the probability of success on each trial (for a fair coin, ( p = 0.5 ))
- ( \binom{n}{k} ) is the number of combinations of ( n ) items taken ( k ) at a time (this represents the number of ways to get exactly ( k ) tails in ( n ) tosses)
Substituting the given values into the formula:
[ P(X = 6) = \binom{12}{6} \times (0.5)^6 \times (1-0.5)^{12-6} ]
[ P(X = 6) = \binom{12}{6} \times (0.5)^6 \times (0.5)^6 ]
[ P(X = 6) = \binom{12}{6} \times (0.5)^{12} ]
Now, calculate ( \binom{12}{6} ):
[ \binom{12}{6} = \frac{12!}{6!(12-6)!} = \frac{12!}{6!6!} ]
[ = \frac{12 \times 11 \times 10 \times 9 \times 8 \times 7}{6 \times 5 \times 4 \times 3 \times 2 \times 1} ]
[ = 924 ]
Now, substitute this value into the equation:
[ P(X = 6) = 924 \times (0.5)^{12} ]
[ P(X = 6) \approx 0.2256 ]
So, the probability of getting exactly 6 tails when a coin is tossed 12 times is approximately 0.2256, or about 22.56%.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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