Introductory Statistics (4th Edition)

$19.99

Download Introductory Statistics (4th Edition) written by Sheldon M. Ross in PDF format. This book is under the category Statistics and bearing the isbn/isbn13 number 128043172/9780128043172. You may reffer the table below for additional details of the book.

SKU: 25766f01628f Category: Tag:

Specifications

book-author

Sheldon M. Ross

publisher

Academic Press; 4th edition

file-type

PDF

pages

802 pages

language

English

asin

B01MZICWX0

isbn10

128043172

isbn13

9780128043172


Book Description

Introductory Statistics; 4th Edition; (PDF) reviews statistical concepts and techniques in a way that will teach students not only how and when to use the statistical procedures developed; but also how to comprehend why these procedures should be used. The text’s main merits are the clarity of presentation; contemporary examples; and applications from various areas; an explanation of intuition; and the ideas behind the statistical methods.

Concepts are encouraged; illustrated; and explained in a way that attempts to increase one’s intuition. To quote from the preface; it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data. Ross attains this goal through a rational mix of mathematical analysis; intuitive discussions; and examples.

Applications and examples refer to real-world issues; such as gun control; health issues; stock price models; driving age limits; school admission ages; sports; use of helmets; scientific fraud; and many others. Examples relating to data mining techniques utilizing the number of Google queries or Twitter tweets are also considered.

For this 4th edition; new topical coverage includes sections on Pareto distribution and the 80-20 rule; Benford’s law; added material on odds and joint distributions and correlation; A-B testing; logistic regression; and more modern (big data) examples and exercises.

  • Presents a unique; historical perspective; profiling prominent statisticians and historical events to motivate learning by including interest and context
  • The comprehensive edition that includes the most commonly used statistical software packages (SAS; SPSS; Minitab); ISM; SSM; and an online graphing calculator manual
  • Provides exercises and examples that help guide the student towards independent learning using real issues and real data; e.g. stock price models; health issues; gender issues; sports; and scientific fraud
  • Includes new section on Pareto distribution and the 80-20 rule; Benford’s law; odds; joint distribution and correlation; logistic regression; A-B testing; and examples from the world of analytics and big data

Reviews

There are some interesting topics included that are not in most introductory stats texts; such as the Gini index; quality control and bandit problems.” — MAA Reviews

The coverage is slow and careful; with many worked examples and plenty of problems; half of which have answers. …Illuminating examples abound. Those who are less than wholly confident about any of the material will find it a rich and unthreatening resource of information and also of questions (even if they are almost all derived from a US context). I have been looking for some time for a properly academic superior to M.J. Moroney’s invaluable if outdated Facts from figures which I have used for forty years; and this would seem to fill the bill.” The Mathematical Gazette

NOTE: The product includes the ebook; Introductory Statistics; 4th Edition in PDF. No access codes are included.

Additional information

book-author

Sheldon M. Ross

publisher

Academic Press; 4th edition

file-type

PDF

pages

802 pages

language

English

asin

B01MZICWX0

isbn10

128043172

isbn13

9780128043172

Table of contents


Table of contents :
Content: 1. Preface 2. Introduction to Statistics 3. Describing Data Sets Using Statistics to Summarize 4. Data Sets Probability 5. Discrete Random Variables 6. Normal Random Variables 7. Distributions of Sampling 8. Statistics Estimation Testing 9. Statistical Hypotheses 10. Hypothesis Tests Concerning Two Populations 11. Analysis of Variance Linear Regression 12. Chi-Squared Goodness of Fit Tests 13. Nonparametric Hypotheses 14. Tests 15. Quality Control 16. Appendices

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