Probability issues in without replacement sampling

A. H. Joarder; W. S. Al-Sabah

doi:10.1080/00207390701228385

Probability issues in without replacement sampling

A. H. Joarder^*
, W. S. Al-Sabah

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Sampling without replacement is an important aspect in teaching conditional probabilities in elementary statistics courses. Different methods proposed in different texts for calculating probabilities of events in this context are reviewed and their relative merits and limitations in applications are pinpointed. An alternative representation of hypergeometric distribution resembling binomial distribution may provide more insight into the problems often encountered.

Original language	English
Pages (from-to)	823-831
Number of pages	9
Journal	International Journal of Mathematical Education in Science and Technology
Volume	38
Issue number	6
DOIs	https://doi.org/10.1080/00207390701228385
State	Published - Jan 2007

ASJC Scopus subject areas

Mathematics (miscellaneous)
Education
Applied Mathematics

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10.1080/00207390701228385

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title = "Probability issues in without replacement sampling",

abstract = "Sampling without replacement is an important aspect in teaching conditional probabilities in elementary statistics courses. Different methods proposed in different texts for calculating probabilities of events in this context are reviewed and their relative merits and limitations in applications are pinpointed. An alternative representation of hypergeometric distribution resembling binomial distribution may provide more insight into the problems often encountered.",

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AB - Sampling without replacement is an important aspect in teaching conditional probabilities in elementary statistics courses. Different methods proposed in different texts for calculating probabilities of events in this context are reviewed and their relative merits and limitations in applications are pinpointed. An alternative representation of hypergeometric distribution resembling binomial distribution may provide more insight into the problems often encountered.

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DO - 10.1080/00207390701228385

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AN - SCOPUS:34548448507

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JO - International Journal of Mathematical Education in Science and Technology

JF - International Journal of Mathematical Education in Science and Technology

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ER -

Probability issues in without replacement sampling

Abstract

ASJC Scopus subject areas

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