Model guide
Why this probability model fits
This is a binomial probability problem because the flips are independent, each flip has the same probability of heads, and the question asks for an exact success count.
Setup: Each flip has the same probability p = 0.5 for heads, and one flip does not change the next one.
Replacement: Replacement is not the right idea here. Coin flips are repeated independent trials, not draws from a shrinking pool.
Independence: Independence matters because the binomial model assumes the probability of heads stays the same on every flip.
Worked solution
37.5%
Exact fraction: 3/8
Decimal: 0.375
The probability of exactly 2 successes is 37.5%.
- Identify this as repeated independent trials with the same success probability.
- Use P(X = k) = C(n, k)p^k(1-p)^(n-k).
- Set n = 4, target successes = 2, and p = 0.5.
- Evaluate the required binomial term for the requested success range.
- The final probability is 3/8, which is 37.5%.
Interactive tool
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This is a binomial probability problem because the flips are independent, each flip has the same probability of heads, and the question asks for an exact success count.
Formula
Probability model
P(E) = favorable outcomes / total outcomes
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Probability
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Calculation work