Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.
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 ...
This book presents some of the most important modeling and prediction techniques, along with relevant applications.
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 ...
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.
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.
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 ...
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.