Binomial Distribution Examples in Math
Start with the recap, study the fully worked examples, then use the practice problems to check your understanding of Binomial Distribution.
This page combines explanation, solved examples, and follow-up practice so you can move from recognition to confident problem-solving in Math.
Concept Recap
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.
Read the full concept explanation →How to Use These Examples
- Read the first worked example with the solution open so the structure is clear.
- Try the practice problems before revealing each solution.
- Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea: Each trial is independent with same probability. Count the successes, not the order.
Common stuck point: The \binom{n}{k} counts the arrangements—without it you'd only get one specific order's probability.
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
hardPractice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
mediumExample 2
mediumRelated Concepts
Background Knowledge
These ideas may be useful before you work through the harder examples.