Book Overview

 

INTRODUCTORY STATISTICS AND ANALYTICS: A RESAMPLING PERSPECTIVE

Description

Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics, and in gaining a true understanding of hypothesis tests and confidence intervals via resampling.

How does this 283-page book differ from other introductory statistics books?

  • It uses resampling and the bootstrap to develop confidence intervals and hypothesis tests

  • It provides a data science and data analytics context for statistics

In addition, the book was developed in consultation with members of the statistical education community in the American Statistical Association, and with the Guidelines for Assessment and Instruction in Statistics Education (GAISE) in mind. Examples are realistic, and illustrations are provided that prompt the reader to say "I can see how this would be useful." You might consider this a modest achievement, but try putting any other statistics text to this test.

The book is fully class-tested, having served as the class text for Statistics 1, 2 and 3 at The Institute for Statistics Education at Statistics.com for close to a decade. Excel-based Resampling Software is available to all readers at no charge. The book also features:

  • Over 300 “Try It Yourself” exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts

  • Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts

  • Linkages that connect statistics to the rapidly growing field of data science

  • Multiple discussions, via a supplement, of various software systems, such as Resampling Stats (an add-in for Excel), StatCrunch, and R, to develop and analyze data

  • Areas of concern and/or contrasting points-of-view indicated through the use of “Caution” icons

Short answers

These files are answers to short questions and exercises in the text.  If you are using the print version of the text, they are provided in print at the end of each chapter.  If you are using the e-book, the links will take you directly to the relevant PDF.  

worksheets

Datasets and spreadsheet examples.

videos

Videos Mentioned in the Text

resources

Software Supplements for the Book