Find Probability Calculator

This find probability calculator works out probabilities under the normal, binomial, Poisson, uniform, exponential and t distributions in one place.

Checks on your data

  • The answer is only as good as the chosen model. Pick the distribution that matches how the data arise: counts of successes in fixed trials (binomial), events per interval (Poisson), waiting times (exponential), measurements (normal).

Results

P(X ≤ 115)
0.84134475
84.1345 %
Complement 1 − P
0.15865525
Distribution
Normal(100, 15²)
Mean
100
Standard deviation
15
Normal(100, 15²): shaded = P(X ≤ 115)
406080100120140160x = 115x
Show step-by-step solution
  1. Model: Normal(100, 15²).
  2. P(X ≤ 115) = 0.84134475.
  3. For a continuous distribution P(X < x) = P(X ≤ x), because single points have zero probability.
Models6 distributions
Tails<, ≤, >, ≥, =, range
DiscreteP(X<k) ≠ P(X≤k)
ContinuousP(X=x) = 0

What Is Find Probability?

To find a probability you first choose the distribution that models your situation, then compute the area or sum that matches your question, such as P(X < x), P(X > x), P(X = x) or P(a ≤ X ≤ b).

Pick the distribution, enter its parameters and the value x, and the calculator returns the probability and its complement, the mean and standard deviation, and a chart with the region highlighted. For discrete distributions it distinguishes < from ≤; for continuous ones it explains that a single value has probability zero.

The article below includes a table to help you choose the right distribution, the key formulas, worked examples and common questions.

How to Use the Find Probability Calculator

  1. Pick the distribution and enter its parameters.
  2. Choose the type of probability.
  3. Enter x (and x₂ for a range).
  4. Read the probability and its complement and check the chart.

Find Probability Formula

Range probability

P(a≤X≤b)=F(b)−F(a)P(a\le X\le b)=F(b)-F(a)

Upper tail

P(X>x)=1−F(x)P(X>x)=1-F(x)

Standardising (normal)

z=x−μσz=\frac{x-\mu}{\sigma}

Find Probability Variables Explained

SymbolMeaningNotes
XThe random variable
xThe value in your question
F(x)Cumulative probability P(X ≤ x)
Parametersμ, σ, n, p, λ, a, b or dfdepend on the distribution

Find Probability Worked Example

With the example values loaded in the calculator above, the steps are:

  1. Model: Normal(100, 15²).
  2. P(X ≤ 115) = 0.84134475.
  3. For a continuous distribution P(X < x) = P(X ≤ x), because single points have zero probability.

Result: P(X ≤ 115) = 0.84134475.

Worked example

For scores with mean 100 and SD 15, P(X ≤ 115) = Φ((115 − 100) ÷ 15) = Φ(1) = 0.8413. For a binomial with n = 20 and p = 0.3, P(X ≤ 6) = 0.6080.

Where Find Probability Is Used

Probability homework

Checking answers across several distributions.

Quick what-if questions

Finding the chance of an event under a model.

Comparing models

Seeing how the same x behaves under different distributions.

Teaching

Showing tails, ranges and complements.

Common Find Probability Mistakes to Avoid

  • Discrete distributions distinguish < from ≤; continuous ones do not.
  • Check parameters carefully; a rate and a mean are not the same thing.
  • Use the complement for "at least" questions.

Find Probability Terms and Definitions

CDF
The cumulative distribution function F(x) = P(X ≤ x).
PMF
The probability mass function for a discrete variable.

Find Probability FAQs

How do I find a probability?

Identify the distribution, enter its parameters, and compute the area or sum that matches your question.

How do I find the probability between two values?

Subtract the cumulative probability at the lower value from that at the upper value.

What is the probability of exactly one value?

Zero for continuous variables; use the PMF for discrete ones.

How do I find "at least" probability?

Use 1 − P(X < x) (for discrete) or 1 − P(X ≤ x) (continuous).

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Last updated 2026-11-09. See our disclaimer.