Statistics is easy!
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains t…
Read More ↓Title Statements
- Full title :Statistics is easy! / Dennis Shasha, Manda Wilson.
Summary
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of the underlying distribution. For that reason, this book presents a distribution-independent approach to statistics based on a simple computational counting idea called resampling. This book explains the basic concepts of resampling, then system atically presents the standard statistical measures alon.
Read More ↓Edition Statements
- Publication Date:©2011.
- Edition:2nd ed
Publication Statements
- Publisher(s):Morgan & Claypool Publishers
- Place of Publication:San Rafael, Calif
- Language:eng
- Publication Date:©2011.
Notes
In: Synthesis digital library of engineering and computer science.
Visionné le 29 octobre 2010.
The Physical Object
- Description:1 online resource (xii, 162 p.) : : ill.
Edition Identifiers
- ISBN:9781608455713, 1608455718, 9781608455706, 160845570X
- DOI:10.2200/S00295ED1V01Y201009MAS008
- oclc:ocn719886527
- LC Classification:QA278.8
- Dewey Decimal:519.5
Table of Contents
Synthesis Lectures on Mathematics and Statistics; ABSTRACT; ACKNOWLEDGEMENTS; Introduction; Contents; 1 The Basic Idea 1; 2 Pragmatic Considerations When Using Resampling 11; 3 Terminology 19; 4 The Essential Stats 27; 5 Case Study: New Mexico's 2004 Presidential Ballots 59; References 75; Bias Corrected Confidence Intervals 77; Appendix B 81; CHAPTER 1; The Basic Idea; CHAPTER 2; Pragmatic Considerations When Using Resampling; CHAPTER 3; Terminology; CHAPTER 4; The Essential Stats; 4.1 Mean; 4.1.1 Why and when; 4.1.2 Calculate; 4.1.3 Example; 4.1.4 Pseudocode & code.
4.2 Difference between Two Means4.2.1 Why and when; 4.2.2 Calculate; 4.2.3 Example; 4.2.4 Pseudocode & code; 4.3 Chi-squared; 4.3.1 Why and when; 4.3.2 Calculate with example; 4.3.3 Pseudocode & code; 4.3.4 Calculate with example for multiple variables; 4.3.5 Pseudocode & code; 4.4 Fisher's Exact Test; 4.4.1 Why and when; 4.4.2 Calculate with Example; 4.4.3 Pseudocode & code; 4.5 One-Way ANOVA; 4.5.1 Why and when; 4.5.2 Calculate with example; 4.5.3 Pseudocode & code; 4.6 Multi-way ANOVA; 4.6.1 Why and when; 4.6.2 Calculate with example; 4.6.3 Pseudocode & code; 4.7 Linear Regression.
4.7.1 Why and when4.7.2 Calcul…
Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
The Social Dynamics of Open Data
Young Sun, Early Earth and the Origins of Life: Lessons for Astrobiology
Gargaud, Muriel
Diagnostic pathology
Classwide positive behavior interventions and supports: a guide to proactive classroom manageme…
Simonsen, Brandi
HBR guide to remote work
La sociologie: histoire, idées, courants
ITIL® 4 Direct, Plan and Improve
La sociologie: histoire, idées, courants
Files & Downloads
-
Statistics is Easy! Second Edition (Synthesis Lec…
PDF · 1.9 MB · updated -
Statistics is Easy! Second Edition -- (.pdf)
PDF · 3.0 MB · updated
Rate & Review