<< Chapter < Page Chapter >> Page >
  • Card 2 / 2:
    Poisson Distribution

    A discrete random variable (RV) that counts the number of times a certain event will occur in a specific interval. Characteristics of the variable: The probability that the event occurs in a given interval is the same for all intervals. The events occur with a known mean and independently of the time since the last event. The distribution is defined by the mean μ of the event in the interval. Notation: X ~ P ( μ ) . The mean is μ = np . The standard deviation is σ = μ . The probability of having exactly x successes in r trials is P ( X = x ) = e − μ μ x x ! . The Poisson distribution is often used to approximate the binomial distribution when n is “large” and p is “small” (a general rule is that n should be greater than or equal to 20 and p should be less than or equal to .05).

  • Keyboard Shortcuts

    Previous Card ← Previous Card Button
    Next Card → Next Card Button
    Flip Card // Return / Space
Practice Key Terms 1

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Collaborative statistics. OpenStax CNX. Jul 03, 2012 Download for free at http://cnx.org/content/col10522/1.40
Flash Cards plugin by Curtis Blackwell github.com/curtisblackwell/flash_cards
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Collaborative statistics' conversation and receive update notifications?

Ask