Introductory Statistics and Analytics

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.

Autorentext
Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. Mr. Bruce is the coauthor of Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner®, Second Edition, also published by Wiley.

Klappentext
A CONCISE, THOROUGHLY CLASS-TESTED PRIMER THAT FEATURES BASIC STATISTICAL 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.

Zusammenfassung
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.

Inhalt
Preface ix Acknowledgments xi Introduction xiii 1 Designing and Carrying Out a Statistical Study 1 1.1 A Small Example 3 1.2 Is Chance Responsible? The Foundation of Hypothesis Testing 3 1.3 A Major Example 7 1.4 Designing an Experiment 8 1.5 What to MeasureCentral Location 13 1.6 What to MeasureVariability 16 1.7 What to MeasureDistance (Nearness) 19 1.8 Test Statistic 21 1.9 The Dat…

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