The DOI matches its Crossref record.
Introduction to Probability and Statistics
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.
Overview
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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Self-check
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Citations
Cited by
Lima, S. L. (1985) · Oecologia · doi:10.1007/bf00378552 · Cited by 317
A Disciplinary Perspective on the Epistemological Status of Risk
Althaus, C. E. (2005) · Risk Analysis · doi:10.1111/j.1539-6924.2005.00625.x · Cited by 286
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Introduction to Probability and Statistics. https://app.cochat.ai/papers/10.2307/2684586
- The paper
- Halvorsen, K. T., Mendenhall, W., & Beaver, R. J. (1995). Introduction to Probability and Statistics. The American Statistician. https://doi.org/10.2307/2684586
Data sources
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.