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Basic Probability Concepts

In: Foundations of Biostatistics

Author

Listed:
  • M. Ataharul Islam

    (University of Dhaka, ISRT)

  • Abdullah Al-Shiha

    (College of Science, King Saud University, Department of Statistics and Operations Research)

Abstract

The basic probability concepts are introduced in this chapter. The definitions of probability along with experimentExperiment, sample spaceSample space, event, equally likely, and mutually exclusiveMutually exclusive outcomes are highlighted. The important operations on events are discussed with examples. The concepts of marginalProbabilitymarginal and conditional probabilitiesProbabilityconditional are discussed in a self-explanatory manner with several examples. The multiplication rulesMultiplication rule of probability and the concept of independent eventsEventsindependent are introduced in this chapter. The applications of conditional probabilityConditional probability and Bayes’ theoremBayes’ theorem in analyzing epidemiological dataData are shown. The measures of sensitivity and specificitySpecificity of tests are illustrated with examples.

Suggested Citation

  • M. Ataharul Islam & Abdullah Al-Shiha, 2018. "Basic Probability Concepts," Springer Books, in: Foundations of Biostatistics, chapter 0, pages 73-102, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-8627-4_3
    DOI: 10.1007/978-981-10-8627-4_3
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