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The 2 Parameter Binomial Discrete Distribution 4 Formulas
The 2 Parameter Binomial Discrete Distribution 4 Formulas
This is part of a short series on the common life data distributions.
The Binomial distribution is discrete. This short article focuses on 4 formulas of the Binomial Distribution.
It has the essential formulas that you may find useful when answering specific questions. Knowing a distribution’s set of parameters does provide, along with the right formulas, a quick means to answer a wide range of reliability related questions.
Assumptions
Given a count variable and if the following conditions apply then the binomial distribution is rather useful.
- There a fixed number, n, of observations
- The observations are independent
- The outcome of each observation is either success or failure
- The probability of success, p, is the same for each observation
The binomial distribution describes the count variable which is the result of n Bernoulli trials. The occurrence of successes are not ordered thus may occur at any point in the n trials. Thus the use of combinations and not permutations. This assumes replacement or essentially…
