Binomial Distribution Formula
The Formula
When to use: Flip a biased coin n times—how many heads? The binomial distribution gives the probability of each count.
Quick Example
Notation
What This Formula Means
The probability distribution of the number of successes in n independent yes/no trials, each with probability p.
Flip a biased coin n times—how many heads? The binomial distribution gives the probability of each count.
Formal View
Worked Examples
Example 1
mediumSolution
- 1 Use the binomial formula: P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}, where n = 8, k = 5, p = 0.5.
- 2 \binom{8}{5} = \frac{8!}{5! \cdot 3!} = 56.
- 3 P(X = 5) = 56 \times (0.5)^5 \times (0.5)^3 = 56 \times (0.5)^8 = 56 \times \frac{1}{256} = \frac{56}{256} = \frac{7}{32}.
Answer
Example 2
hardCommon Mistakes
- Applying the binomial model when trials are not independent — drawing cards without replacement violates independence
- Forgetting the \binom{n}{k} coefficient and computing only p^k(1-p)^{n-k}, which gives the probability of one specific sequence
- Using the binomial distribution when the number of trials is not fixed — if counting trials until a success, use the geometric distribution
Why This Formula Matters
Models quality control, medical trials, polling, and any repeated yes/no experiment.
Frequently Asked Questions
What is the Binomial Distribution formula?
The probability distribution of the number of successes in n independent yes/no trials, each with probability p.
How do you use the Binomial Distribution formula?
Flip a biased coin n times—how many heads? The binomial distribution gives the probability of each count.
What do the symbols mean in the Binomial Distribution formula?
X \sim B(n, p) reads 'X follows a binomial distribution with n trials and success probability p'
Why is the Binomial Distribution formula important in Math?
Models quality control, medical trials, polling, and any repeated yes/no experiment.
What do students get wrong about Binomial Distribution?
The \binom{n}{k} counts the arrangements—without it you'd only get one specific order's probability.
What should I learn before the Binomial Distribution formula?
Before studying the Binomial Distribution formula, you should understand: binomial coefficient, probability, independent events.