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.
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