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Statistics : learning from data / Roxy Peck and Catherine Case.

By: Contributor(s): Material type: TextTextPublisher: Boston, Massachusetts : Cengage, 2024Edition: 3rd editionDescription: xvi, 939 pages : color illustration ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780357758298
Subject(s): DDC classification:
  • 23 519.2 P334s
LOC classification:
  • QA276.12 .P434 2024
Contents:
Section I. Collecting data -- Collecting data in reasonable ways -- Section II. Describing data distributions -- Graphical methods for describing data distributions -- Numerical methods for describing data distributions -- Describing bivariate numerical data-- Section III. A foundation for inference: reasoning about probability -- Probability -- Random variables and probability distributions -- Section IV. Learning from sample data -- An overview of statistical inference - learning from data -- Sampling variability and sampling distributions -- Estimating a population proportion -- Asking and answering questions about a population proportion -- Asking and answering questions about the difference between two proportions -- Asking and answering questions about a population mean -- Asking and answering questions about the difference between two means -- Section V. Additional opportunities to learn from data -- Learning from categorical data -- Understanding relationships - numerical data -- Asking and answering questions about more than two means.
Summary: "This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most - probability, hypothesis testing and selecting an appropriate method of analysis. Students can strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes."
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Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Graduate School Library GRD 519.2 P334s 2024 (Browse shelf(Opens below)) 1-1 Available 030309

Includes index.

Section I. Collecting data -- Collecting data in reasonable ways -- Section II. Describing data distributions -- Graphical methods for describing data distributions -- Numerical methods for describing data distributions -- Describing bivariate numerical data-- Section III. A foundation for inference: reasoning about probability -- Probability -- Random variables and probability distributions -- Section IV. Learning from sample data -- An overview of statistical inference - learning from data -- Sampling variability and sampling distributions -- Estimating a population proportion -- Asking and answering questions about a population proportion -- Asking and answering questions about the difference between two proportions -- Asking and answering questions about a population mean -- Asking and answering questions about the difference between two means -- Section V. Additional opportunities to learn from data -- Learning from categorical data -- Understanding relationships - numerical data -- Asking and answering questions about more than two means.

"This edition addresses common obstacles to learning, as the authors translate research on student learning in statistics and probability into practice. The authors use proven methods to address areas where students struggle most - probability, hypothesis testing and selecting an appropriate method of analysis. Students can strengthen their conceptual understanding and procedural fluency as they put knowledge into practice with updated learning objectives, real-data examples, exercises and technology notes."

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