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Statistics: learning from data / by Roxy Peck & Catherine Case.

By: Contributor(s): Material type: TextTextPublication details: Boston, MA : Cengage Learning, Inc. , c2024.Edition: 3rd edDescription: xvi, 939 pages : col. illus. ; 28 cmISBN:
  • 9780357758304
Subject(s): DDC classification:
  • Ref 519.5 P33s 2024.
Contents:
Contents: Section I. Collecting data. - - Section II. Describing data distributions. - - Section III. A foundation for inference: reasoning about probability. - - Section IV. Learning from sample data. - - Section V. Additional opportunities to learn from data.
Summary: "This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability. The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis. You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes. WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically. SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data."-- Provided by publisher.
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Item type Current library Collection Call number Status Barcode
Books Books ASCOT Library - Zabali Campus Reference Reference Ref 519.5 P33s 2024. (Browse shelf(Opens below)) Available Ref5195004860
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Ref 519.5 D65a 2022 04608 Applied statistics in business and economics / Ref 519.5 M45i 2023 Introductory statistics / Ref 519.5 N22s 2020 Statistics for engineers and scientists / Ref 519.5 P33s 2024. Statistics: learning from data / Ref 519.53 R63s 2023. Statistics and data visualisation with Python / Ref 530 N71t 2023. Textbook of physics / Ref 530.12 K83q 2023 04579 Quantum mechanics for tomorrow's engineers /

Includes index.

Contents:
Section I. Collecting data. - -
Section II. Describing data distributions. - -
Section III. A foundation for inference: reasoning about probability. - -
Section IV. Learning from sample data. - -
Section V. Additional opportunities to learn from data.

"This updated edition addresses common obstacles to learning based on the latest research for mastering statistics and probability. The authors use proven methods to carefully explain areas where you are most likely to struggle -- probability, hypothesis testing and selecting an appropriate method of analysis. You strengthen your conceptual understanding, procedural fluency and ability to put knowledge into practice with this edition's learning objectives, real-data examples, updated exercises and technology notes. WebAssign digital resources and Cengage's Statistical Analysis and Learning Tool (SALT) are also available to guide you in thinking statistically. SALT is an easy-to-use data analysis tool that allows you to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind the data."-- Provided by publisher.

Text in English.

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