Introductory Statistics and Analytics (PDF)

Concise, thoroughly class-tested primer that features basic
statistical concepts in the concepts in the context of analytics,
resampling, and the bootstrap

A uniquely developed presentation of key statistical topics,
Introductory Statistics and Analytics: A Resampling
Perspective provides an accessible approach to statistical
analytics, resampling, and the bootstrap for readers with various
levels of exposure to basic probability and statistics. Originally
class-tested at one of the first online learning companies in the
discipline, www.statistics.com, the book primarily focuses on
applications of statistical concepts developed via resampling, with
a background discussion of mathematical theory. This feature
stresses statistical literacy and understanding, which demonstrates
the fundamental basis for statistical inference and demystifies
traditional formulas.

The book begins with illustrations that have the essential
statistical topics interwoven throughout before moving on to
demonstrate the proper design of studies. Meeting all of the
Guidelines for Assessment and Instruction in Statistics Education
(GAISE) requirements for an introductory statistics course,
Introductory Statistics and Analytics: A Resampling
Perspective also includes:

* 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 of various software systems, such as
Microsoft Office 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

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.