Read Introduction to Statistics Through Resampling Methods and R

Introduction to Statistics Through Resampling Methods and R

Phillip I. Good

4.9/5 (15396 ratings)

Description:A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."--Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises--with selected "hints"--scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistics Through Resampling Methods and R. To get started finding Introduction to Statistics Through Resampling Methods and R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1118428218

Description: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."--Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises--with selected "hints"--scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Statistics Through Resampling Methods and R. To get started finding Introduction to Statistics Through Resampling Methods and R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Introduction to Statistics Through Resampling Methods and R

Introduction to Statistics Through Resampling Methods and R

More Books

Common Errors in Statistics: (and How to Avoid Them)

Common Errors in Statistics: (and How to Avoid Them)

Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

Resampling Methods by Phillip I. Good (2001-11-09)

Resampling Methods by Phillip I. Good (2001-11-09)

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Resampling Methods: A Practical Guide to Data Analysis

Resampling Methods: A Practical Guide to Data Analysis

Intro Statistics Resamp Excel by Phillip I. Good (2005-07-20)

Intro Statistics Resamp Excel by Phillip I. Good (2005-07-20)

A Manager's Guide to the Design and Conduct of Clinical Trials

A Manager's Guide to the Design and Conduct of Clinical Trials

Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses

Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses