Statistics
Binomial Probability Calculator
Compute P(X = k), P(X ≤ k), or P(X ≥ k) for a binomial random variable with parameters n and p.
Compute exact, cumulative, or tail probabilities for a binomial experiment.
Binomial distribution
P(X = k) = C(n, k) pᵏ (1 − p)ⁿ⁻ᵏ
The calculator also returns the distribution’s expected value (np) and variance (np(1 − p)).
How to use
- Provide the number of trials n and success probability p.
- Enter the number of successes k and choose exact, at-most, or at-least mode.
- Read the probability, expected value, and variance.
Example
Input: n = 10, p = 0.4, k = 4, mode = exact
Output: P(X = 4) ≈ 0.2508
Student-friendly breakdown
This walkthrough emphasizes the most searched ideas for Binomial Probability Calculator: binomial probability calculator, binomial distribution calculator, binomial cumulative calculator, probability of exactly k successes. Start with the formula above, then follow the guided steps to double-check your work. For quick revision, highlight the givens, plug into the equation, and finish by verifying your units.
Need more support? Use the links below to open the long-form guide, browse additional examples, or hop into adjacent calculators within the same topic. Each resource is interlinked so crawlers (and readers) can discover the next best action within a couple of clicks—one of the easiest ways to lift topical authority.
Deep dive & study plan
The Binomial Probability Calculator is a go-to tool whenever you need to finds exact or cumulative probabilities for binomial experiments.. It focuses on binomial distribution, probability, discrete, which means searchers often arrive with intent-heavy queries like “how to binomial probability calculator quickly” or “binomial probability calculator formula explained.” Use this calculator to capture those intents and keep learners on the page long enough to send positive engagement signals.
Under the hood, the calculator leans on the calculator also returns the distribution’s expected value (np) and variance (np(1 − p)).—that’s why we surface the full expression (“P(X = k) = C(n, k) pᵏ (1 − p)ⁿ⁻ᵏ”) directly above the interactive widget. When you embed that formula inside H2s or supporting paragraphs, you help both humans and crawlers understand what entity the page represents.
Execution matters as much as the math. Follow the built-in procedure: Step 1: Provide the number of trials n and success probability p. Step 2: Enter the number of successes k and choose exact, at-most, or at-least mode. Step 3: Read the probability, expected value, and variance.. Each numbered instruction is short enough to scan on mobile but descriptive enough to satisfy Google’s Helpful Content guidelines. Encourage students to jot down units, double-check signs, and compare answers with the Example card to build confidence.
The Example section itself is packed with semantic clues: “n = 10, p = 0.4, k = 4, mode = exact” leading to “P(X = 4) ≈ 0.2508.” Pepper similar narratives throughout your copy (and internal links from related guides) so canonical search intents are answered without pogo-sticking back to Google.
Quick retention checklist
- Speak the formula aloud (or annotate it) so the relationships stick.
- Write each step in your own words and compare with the numbered list above.
- Swap in new numbers for the Example to make sure the calculator (and your logic) handles edge cases.
- Link out to at least two related calculators to keep readers exploring your topical hub.
FAQ & notes
How does rounding work?
Probabilities are displayed with up to four decimal places, but calculations use double precision internally.
Is cumulative probability inclusive?
Yes. P(X ≤ k) includes the k term, and P(X ≥ k) includes k as well.
What formula does the Binomial Probability Calculator use?
The calculator also returns the distribution’s expected value (np) and variance (np(1 − p)).
How do I use the Binomial Probability Calculator?
Provide the number of trials n and success probability p. Enter the number of successes k and choose exact, at-most, or at-least mode. Read the probability, expected value, and variance.