
Statistics
Unlocking the Power of Data
Wiley (Publisher)
Published on 11. January 2013
Book
Hardback
736 pages
978-0-470-60187-7 (ISBN)
Description
This book incorporates the use of available technologies and modern methods of data analysis. The text focuses on providing conceptual understanding of the main themes of statistical inference, to provide a more solid grasp of the core ideas of statistics and make it relatively easy to apply those ideas to more theoretical and advanced statistics topics. Furthermore, the text offers cutting edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention.
Reviews / Votes
"this text should be familiar to everyone teaching an introductory statistics course or considering a textbook for one. Truly innovative textbooks are rare indeed, and I hope this one will stimulate much discussion and debate." (Mathematical Association of America 2016)More details
Edition
1. Auflage
Language
English
Place of publication
Chichester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Dimensions
Height: 28.6 cm
Width: 22.5 cm
Thickness: 2.8 cm
Weight
1670 gr
ISBN-13
978-0-470-60187-7 (9780470601877)
Schweitzer Classification
Persons
Author
St. Lawrence University
St. Lawrence University
Duke University
Duke University
Iowa State University
Content
Unit A: Data
Chapter 1: Collecting Data
Chapter 2: Describing Data
Unit B: Understanding Inference
Chapter 3: Confidence Intervals
Chapter 4: Hypothesis Tests
Unit C: Inference for Means and Proportions
Chapter 5: Approximating with a Distribution
Chapter 6: Inference for Means and Proportions
Unit D: Inference for Multiple Parameters
Chapter 7: Chi-Square Tests for Categorical Variables
Chapter 8: ANOVA for Comparing Means
Chapter 9: Inference for Regression
Chapter 10: Multiple Regression
Optional:
Chapter 11: Probability Basics
Chapter 1: Collecting Data
Chapter 2: Describing Data
Unit B: Understanding Inference
Chapter 3: Confidence Intervals
Chapter 4: Hypothesis Tests
Unit C: Inference for Means and Proportions
Chapter 5: Approximating with a Distribution
Chapter 6: Inference for Means and Proportions
Unit D: Inference for Multiple Parameters
Chapter 7: Chi-Square Tests for Categorical Variables
Chapter 8: ANOVA for Comparing Means
Chapter 9: Inference for Regression
Chapter 10: Multiple Regression
Optional:
Chapter 11: Probability Basics