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Statistics Is Easy!, Paperback by Shasha, Dennis; Wilson, Manda, Like New Use...

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Book Title
Statistics Is Easy!
ISBN
9783031012723
Subject Area
Mathematics
Publication Name
Statistics Is Easy! 2nd Edition
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Probability & Statistics / General, General, Applied
Publication Year
2010
Series
Synthesis Lectures on Mathematics and Statistics Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Dennis Shasha, Manda Wilson
Item Weight
12.1 Oz
Item Width
7.5 in
Number of Pages
Xii, 162 Pages

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3031012720
ISBN-13
9783031012723
eBay Product ID (ePID)
5057272550

Product Key Features

Number of Pages
Xii, 162 Pages
Publication Name
Statistics Is Easy! 2nd Edition
Language
English
Publication Year
2010
Subject
Probability & Statistics / General, General, Applied
Type
Textbook
Subject Area
Mathematics
Author
Dennis Shasha, Manda Wilson
Series
Synthesis Lectures on Mathematics and Statistics Ser.
Format
Trade Paperback

Dimensions

Item Weight
12.1 Oz
Item Length
9.3 in
Item Width
7.5 in

Additional Product Features

Edition Number
2
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
English
Table Of Content
The Basic Idea.- Pragmatic Considerations when Using Resampling.- Terminology.- The Essential Stats.- Case Study: New Mexico's 2004 Presidential Ballots.- References.- Bias Corrected Confidence Intervals.- Appendix B.
Synopsis
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 along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea / Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B, 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 along with programs (in the language Python) to calculate them using resampling, and finally illustrates the use of the measures and programs in a case study. The text uses junior high school algebra and many examples to explain the concepts. Th e ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers. Table of Contents: The Basic Idea/ Pragmatic Considerations when Using Resampling / Terminology / The Essential Stats / Case Study: New Mexico's 2004 Presidential Ballots / References / Bias Corrected Confidence Intervals / Appendix B
LC Classification Number
QA1-939

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