Introductory Statistics

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Introductory Statistics by Sheldon M. Ross, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sheldon M. Ross ISBN: 9780128043615
Publisher: Elsevier Science Publication: January 26, 2017
Imprint: Academic Press Language: English
Author: Sheldon M. Ross
ISBN: 9780128043615
Publisher: Elsevier Science
Publication: January 26, 2017
Imprint: Academic Press
Language: English

Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods.

Concepts are motivated, 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 achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples.

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

For this fourth 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, logistic regression, A-B testing, and more modern (big data) examples and exercises.

  • 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
  • Comprehensive edition that includes the most commonly used statistical software packages (SAS, SPSS, Minitab), ISM, SSM, and an online graphing calculator manual
  • Presents a unique, historical perspective, profiling prominent statisticians and historical events to motivate learning by including interest and context
  • Provides exercises and examples that help guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Introductory Statistics, Fourth Edition, reviews statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also how to understand why these procedures should be used. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods.

Concepts are motivated, 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 achieves this goal through a coherent mix of mathematical analysis, intuitive discussions, and examples.

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

For this fourth 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, logistic regression, A-B testing, and more modern (big data) examples and exercises.

More books from Elsevier Science

Cover of the book Contemporary Ideas on Ship Stability by Sheldon M. Ross
Cover of the book Flavour Science by Sheldon M. Ross
Cover of the book Crude Oil Fouling by Sheldon M. Ross
Cover of the book Advances in Imaging and Electron Physics by Sheldon M. Ross
Cover of the book Principles of Biomedical Informatics by Sheldon M. Ross
Cover of the book 11th International Symposium on Process Systems Engineering - PSE2012 by Sheldon M. Ross
Cover of the book Mechanics of Sheet Metal Forming by Sheldon M. Ross
Cover of the book An Introduction to Trading in the Financial Markets: Global Markets, Risk, Compliance, and Regulation by Sheldon M. Ross
Cover of the book Neural Crest and Placodes by Sheldon M. Ross
Cover of the book High Voltage Test Techniques by Sheldon M. Ross
Cover of the book Stochastic Dynamics. Modeling Solute Transport in Porous Media by Sheldon M. Ross
Cover of the book Unstable States in the Continuous Spectra (II: Interpretation, Theory and Applications) by Sheldon M. Ross
Cover of the book Philosophy of Medicine by Sheldon M. Ross
Cover of the book Metallic Foam Bone by Sheldon M. Ross
Cover of the book LEED Practices, Certification, and Accreditation Handbook by Sheldon M. Ross
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy