Using the model
Symbols, assumptions and limitations
The binomial model assumes n independent trials with constant success probability p. The normal model is continuous, requires σ>0, and uses a numerical approximation to the standard normal cumulative distribution.
Worked examples
See the method in practice
Binomial successes
For n=10, p=0.5, the probability of exactly 5 successes is approximately 0.246.
Standard normal interval
For μ=0 and σ=1, the probability between −1 and 1 is approximately 0.683.
Questions
Frequently asked
When is a binomial model appropriate?
When there is a fixed number of independent trials, two outcomes per trial, and constant success probability.
Why is normal point probability zero?
A continuous distribution assigns probability to intervals; any single exact point has probability zero.
What is a z-score?
It expresses how many standard deviations a value lies above or below the mean.
Sources & review
Equations and examples are checked against the references below. Results are educational and should be independently verified for safety-critical work.
OpenStax Introductory Statistics — The Binomial Distribution OpenStax Introductory Statistics — The Standard Normal DistributionWritten by the STEM Hub editorial team · Reviewed August 11, 2026 · Review methodology