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Cited by 254

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Introduction to Probability and Statistics

Halvorsen, Katherine Taylor, Mendenhall, William, Beaver, Robert J.·1995·The American Statistician

Abstract

Used by hundreds of thousands of students since its first edition, INTRODUCTION TO PROBABILITY AND STATISTICS continues to blend the best of its proven coverage with new innovations. While retaining the straightforward presentation and traditional outline for descriptive and inferential statistics, the Twelfth Edition incorporates exciting new learning aids like MyPersonal Trainer, MyApplet, and MyTip to ensure that students learn and understand the relevance of the material. The book takes advantage of modern technology, including computational software and interactive visual tools, to facilitate statistical reasoning as well as the understanding and interpretation of statistical results. In addition to showing how to apply statistical procedures, the authors explain how to meaningfully describe real sets of data, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. This new edition retains the statistical integrity, examples, exercises and exposition that have made it a market leader, and builds upon this tradition of excellence with new technology integration.

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Metadata

Authors
Halvorsen, K. T., Mendenhall, W., & Beaver, R. J.
Venue
The American Statistician
Publisher
JSTOR
Published
1995-11
Volume
49
Issue
4
Pages
398
ISSN
0003-1305 (ISSN-L)
OpenAlex
W3028131295
Cited by
254
References
0
FWCI
9.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Introduction to Probability and Statistics. https://app.cochat.ai/papers/10.2307/2684586
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Halvorsen, K. T., Mendenhall, W., & Beaver, R. J. (1995). Introduction to Probability and Statistics. The American Statistician. https://doi.org/10.2307/2684586

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.