Probability

Randall Schumacker and Sara Tomek
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Randall Schumacker: University of Alabama
Sara Tomek: University of Alabama

Chapter Chapter 2 in Understanding Statistics Using R, 2013, pp 11-41 from Springer

Abstract: 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 %.

Keywords: Common Birthday; WITHOUT REPLACEMENT; Trials Increase; Yellow Marbles; Relative Frequency Definition (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-6227-9_2

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DOI: 10.1007/978-1-4614-6227-9_2

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