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.
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