Common Probability Distributions

  • Home
  • /
  • Blog
  • /
  • Common Probability Distributions
 1. Normal Distribution:

\( {y = \frac{1}{{\sigma}{\sqrt {2 \pi}}}e^{\frac{-(x - \mu)^2}{2 \sigma}} }\)

​Where:

μ  = Mean

σ  = Standard Deviation
π ≈ 3.141

e ≈ 2.718

​2. Binomial Distribution:

\({P(x)} = ^{n}{C_x}.{p^x}.{q^{n-x}}\)

​Where:

p = Probability of success

q = Probability of failure =  1−p
n = Number of trials

P(x) = Probability of x successes in n trials
​3. Poisson Distribution:

\({P(x)} = {e^{-m}}.\frac{m^x}{x!}​\)

​Where:

m = Probability of success

P(x) = Probability of x successes.



Customers served! 1

Quality Management Course

FREE! Subscribe to get 52 weekly lessons. Every week you get an email that explains a quality concept, provides you with the study resources, test quizzes, tips and special discounts on our other e-learning courses.

Similar Posts:

December 26, 2021

Seven Quality Tools – Check Sheet

March 3, 2022

The Power Of Nature: Biomimicry

December 15, 2018

Common Probability Distributions

November 24, 2021

Lessons Learned

November 23, 2021

Difference and similarities between the Six Sigma DMAIC and DMADV methodologies

December 27, 2021

Seven Quality Tools – Run Chart

31 Courses on SALE. Join 200,000+ Existing Students.