Description

Book Synopsis

For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required.

Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.



Table of Contents
  • 1. Probability
  • 2. Discrete Distributions
  • 3. Continuous Distributions
  • 4. Bivariate Distributions
  • 5. Distributions of Functions of Random Variables
  • 6. Point Estimation
  • 7. Interval Estimation
  • 8. Tests of Statistical Hypotheses
  • 9. More Tests
  • Epilogue
  • A. References
  • B. Tables
  • C. Answers to Odd-Numbered Exercises
  • D. Review of Selected Mathematical Techniques
  • Index

Probability and Statistical Inference Global

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    A Paperback / softback by Robert Hogg, Elliot Tanis, Dale Zimmerman

    £73.99

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    Order before 4pm today for delivery by Mon 9 Nov 2026.

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      Book details

      Publisher Pearson Education Limited
      Published 6 October 2014
      ISBN-13 9781292062358
      978-1292062358
      ISBN-10 1292062355
      Also in:
      Probability and statistics

      Description

      Book Synopsis

      For a one- or two-semester course; calculus background presumed, no previous study of probability or statistics is required.

      Written by three veteran statisticians, this applied introduction to probability and statistics emphasizes the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Designed for students with a background in calculus, this book continues to reinforce basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts.



      Table of Contents
      • 1. Probability
      • 2. Discrete Distributions
      • 3. Continuous Distributions
      • 4. Bivariate Distributions
      • 5. Distributions of Functions of Random Variables
      • 6. Point Estimation
      • 7. Interval Estimation
      • 8. Tests of Statistical Hypotheses
      • 9. More Tests
      • Epilogue
      • A. References
      • B. Tables
      • C. Answers to Odd-Numbered Exercises
      • D. Review of Selected Mathematical Techniques
      • Index

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