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Probability

In: Understanding Statistics Using R

Author

Listed:
  • Randall Schumacker

    (University of Alabama)

  • Sara Tomek

    (University of Alabama)

Abstract

One’s ability to determine the probability of an event is based upon whether the event occurs in a finite or infinite population. In a finite population, the number of objects or events is known. An exact probability or fraction can be determined. For example, given a population of 1,000 cars with 500 Ford, 200 Chevrolet, 200 Chrysler, and 100 Oldsmobile, the probability of selecting a Ford is one-half or 50 % (500/1,000). The probability of selecting a Chevrolet is one-fifth or 20 % (200/1,000), the probability of selecting a Chrysler is one-fifth or 20 % (200/1,000), and the probability of selecting an Oldsmobile is one-tenth or 10 % (100/1,000). The individual probabilities add up to 100 %.

Suggested Citation

  • Randall Schumacker & Sara Tomek, 2013. "Probability," Springer Books, in: Understanding Statistics Using R, edition 127, chapter 0, pages 11-41, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4614-6227-9_2
    DOI: 10.1007/978-1-4614-6227-9_2
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