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John E. Freund's Mathematical Statistics with Applications, 8th edition

Published by Pearson (July 14, 2021) © 2022

  • Irwin Miller
  • Marylees Miller

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ISBN-13: 9780137547432 (2021 update)

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ISBN-13: 9780137547432 (2021 update)

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Purchasing Instructions

This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

eTextbook access on Pearson+

ISBN-13: 9780137547432 (2021 update)

Unlock extra study tools for other course help

eTextbook access + Study & Exam Prep monthly subscription on Pearson+

ISBN-13: 9780137547432 (2021 update)

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.
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Details

  • A print edition

This product is expected to ship within 3-6 business days for US and 5-10 business days for Canadian customers.

Title overview

For 2-semester or 3-quarter calculus-based courses in Introduction to Mathematical Statistics. Can also be used for a 1-semester course emphasizing probability, probability distributions and densities, sampling, and classical statistical inference.

A modern classic

John E. Freund's Mathematical Statistics with Applications, 8th Edition provides a calculus-based introduction to the theory and application of statistics, based on comprehensive coverage that reflects the latest in statistical thinking, the teaching of statistics, and current practices.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.

Table of contents

Brief Contents

  1. Introduction
  2. Probability
  3. Probability Distributions and Probability Densities
  4. Mathematical Expectation
  5. Special Probability Distributions
  6. Special Probability Densities
  7. Functions of Random Variables
  8. Sampling Distributions
  9. Decision Theory
  10. Point Estimation
  11. Interval Estimation
  12. Hypothesis Testing
  13. Tests of Hypotheses Involving Means, Variances, and Proportions
  14. Regression and Correlation
  15. Design and Analysis of Experiments
  16. Nonparametric Tests

Author bios

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