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Sagot :
To determine the probability of getting exactly 3 heads out of 9 flips of a penny, we can use the binomial probability formula. The formula is given by:
[tex]\[ P(k \text{ successes}) = \binom{n}{k} p^k (1-p)^{n-k} \][/tex]
where:
- [tex]\( n \)[/tex] is the number of trials (flips), which is 9 in this case.
- [tex]\( k \)[/tex] is the number of successes (heads), which is 3 in this case.
- [tex]\( p \)[/tex] is the probability of success (getting a head) in each trial, which is 0.5 for flipping a fair penny.
The binomial coefficient [tex]\(\binom{n}{k}\)[/tex] is calculated by:
[tex]\[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \][/tex]
Plugging in the values:
- [tex]\( n = 9 \)[/tex]
- [tex]\( k = 3 \)[/tex]
- [tex]\( p = 0.5 \)[/tex]
The expression becomes:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^3 (1-0.5)^{9-3} \][/tex]
Simplifying further:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^3 (0.5)^6 \][/tex]
Combining the powers of 0.5:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^{3+6} \][/tex]
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^9 \][/tex]
The correct expression among the given choices is:
[tex]\[ { }_9 C_3(0.5)^3(0.5)^6 \][/tex]
This simplifies to:
[tex]\[ { }_9 C_3(0.5)^9 \][/tex]
Hence, the correct expression that represents the probability of getting exactly 3 heads is:
[tex]\[ { }_9 C_3(0.5)^3(0.5)^6 \][/tex]
The numerical outcome for the given problem would be [tex]\( 84.0 \)[/tex] for the combination calculation and [tex]\( 0.1640625 \)[/tex] for the probability.
[tex]\[ P(k \text{ successes}) = \binom{n}{k} p^k (1-p)^{n-k} \][/tex]
where:
- [tex]\( n \)[/tex] is the number of trials (flips), which is 9 in this case.
- [tex]\( k \)[/tex] is the number of successes (heads), which is 3 in this case.
- [tex]\( p \)[/tex] is the probability of success (getting a head) in each trial, which is 0.5 for flipping a fair penny.
The binomial coefficient [tex]\(\binom{n}{k}\)[/tex] is calculated by:
[tex]\[ \binom{n}{k} = \frac{n!}{k!(n-k)!} \][/tex]
Plugging in the values:
- [tex]\( n = 9 \)[/tex]
- [tex]\( k = 3 \)[/tex]
- [tex]\( p = 0.5 \)[/tex]
The expression becomes:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^3 (1-0.5)^{9-3} \][/tex]
Simplifying further:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^3 (0.5)^6 \][/tex]
Combining the powers of 0.5:
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^{3+6} \][/tex]
[tex]\[ P(3 \text{ heads}) = \binom{9}{3} (0.5)^9 \][/tex]
The correct expression among the given choices is:
[tex]\[ { }_9 C_3(0.5)^3(0.5)^6 \][/tex]
This simplifies to:
[tex]\[ { }_9 C_3(0.5)^9 \][/tex]
Hence, the correct expression that represents the probability of getting exactly 3 heads is:
[tex]\[ { }_9 C_3(0.5)^3(0.5)^6 \][/tex]
The numerical outcome for the given problem would be [tex]\( 84.0 \)[/tex] for the combination calculation and [tex]\( 0.1640625 \)[/tex] for the probability.
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