Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
This book presents some of the most important modeling and prediction techniques, along with relevant applications.
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.
This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational ...
Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
Richard M. Karp, Reducibility among combinatorial problems, Complexity of computer computations (Proc. ... MR779900 Daphne Koller and Nir Friedman, Probabilistic graphical models: Principles and techniques, Adaptive Computation and ...
Following the successful, 'The Humongous Books', in calculus and algebra, bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying ...
As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
Learning. Objectives. Review the importance of probability in statistics. Understand the normal curve and its relation to ... In the health sciences, social and behavioral sciences, as well as in other fields, many things are normally ...