STATZIKI

Input

Output

P(-2.0 < Z < 2.0) = 0.9545

Normal probability calculator to estimate
P(Lower X ≤ Z ≤ Upper X)

P(Lower X ≤ Z ≤ Upper X) is the probability to land between two values (lower X & upper X) given mean μ and standard deviation σ.

Example, wires manufactued for use in a computer system are specified to have resistance between 0.12 and 0.14 ohms. The actual measured resistance of the wires produced by company A have a normal probability distribution with mean 0.13 ohm and standard deviation 0.005 ohm.
- What is the probability that a randomly selected wire from company A will have between 0.12 and 0.14 ohms?

For this example you want to have lower X as 0.12 and upper X as 0.14, μ is 0.13 and the standard deviation σ is 0.005.