Probability and Statistical Inference, Global Edition, 10th edition

Published by Pearson (August 1, 2024) © 2024

  • Robert V. Hogg University of Iowa
  • Elliot A. Tanis Hope College
  • Dale L. Zimmerman
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Access details

  • Instant access once purchased
  • 12-month access
  • Offline access via app

Features

  • Hypergeometric distribution
  • Embedded videos and media
  • Enhanced keyword search
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Details

  • A print copy
  • Free shipping

Features

  • Balanced coverage of probability and statistics
  • Hypergeometric distribution
  • Historical vignettes

For one- or two-semester courses in Probability, Probability & Statistics, or Mathematical Statistics.

Advances in computing technology - particularly in science and business - have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, Probability and Statistical Inference, 10th Edition emphasises the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation.

This applied introduction to probability and statistics reinforces basic mathematical concepts with numerous real-world examples and applications to illustrate the relevance of key concepts. It is designed for a two-semester course, but it can be adapted for a one-semester course. A good calculus background is needed, but no previous study of probability or statistics is required.

  • 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
  • Appendices
  • A. References
  • B. Tables
  • C. Answers to Odd-Numbered Exercises
  • D. Review of Selected Mathematical Techniques
    • D.1 Algebra of Sets
    • D.2 Mathematical Tools for the Hypergeometric Distribution
    • D.3 Limits
    • D.4 Infinite Series
    • D.5 Integration
    • D.6 Multivariate Calculus

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