Abstract

This chapter discusses the binomial and Poisson distributions. The binomial distribution is a probability distribution of a variate x that takes the values 0, 1, 2, … n, with probabilities P1, P2, P3, … Pn given by the terms of the expansion of (q + p)n. The Poisson distribution is applicable in two different circumstances: (1) as an approximation to the binomial distribution and (2) when the variates occur in a random manner. Using the Poisson instead of the binomial distribution can reduce calculations quite considerably. The defective resistors are assumed to occur at random and this is, therefore, a Poisson distribution. The combination of two Poisson distributions with means a and b is itself a Poisson distribution with mean a + b.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.