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Introduction to Modern Statistics
This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it.
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify.
This textbook may be downloaded as a free PDF on the project's website, and the paperback is sold royalty-free.
These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.The text discusses the important ideas used to support an interpretation (such as the notion of a ...
The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides ...
The approach is immersive and practical. We are proud to make the book available in paperback for less than 7 dollars from amazon.com and free in PDF from our homepage openintro.org.
Intermediate algebra is the only prerequisite. The book focuses on applications of statistical knowledge rather than the theory behind it.
After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.