Estatística

Binomial Distribution Calculator: Find Probability Online

Calculate binomial distribution probabilities online with ease. Visualize the binomial distribution, understand success likelihood in trials. Free, user-friendly tool for statistical analysis.

n ≥ 0

Total number of experiments.

0 ≤ p ≤ 1

Likelihood of success in one trial (0 to 1).

0 ≤ k ≤ n

Desired number of successful outcomes.

Calculation Result:

The probability of getting successes in trials is:

$$P(X=k) = {n \choose k} \cdot p^k \cdot (1-p)^{n-k}$$

Binomial Distribution Visualization

Understanding Binomial Distribution

The Binomial Distribution is a cornerstone of probability, describing the likelihood of achieving a specific number of successes in a series of independent experiments, known as trials. Each trial has only two outcomes: success or failure.

Key Concepts:

  • Trials (n): The total count of repeated experiments. Each trial is independent.
  • Success Probability (p): The constant probability of success in each trial, remaining consistent across all trials.
  • Successes (k): The number of successful outcomes for which we want to calculate the probability.

Formula: The probability of exactly k successes in n trials is given by: $$P(X=k) = {n \choose k} \cdot p^k \cdot (1-p)^{n-k}$$ where ${n \choose k}$ is the binomial coefficient, representing the number of ways to choose k successes from n trials.

Applications: Binomial distribution is used across many fields:

  • Quality Control: To estimate defective product rates.
  • Medical Research: To assess treatment success probabilities.
  • Surveys and Polling: To analyze the likelihood of specific response numbers.
  • Genetics: For modeling trait inheritance patterns.

For deeper understanding, explore the Wikipedia article on Binomial Distribution.