An edition of Statistics is easy! (2008)

Statistics is easy!

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July 24, 2024 | History
An edition of Statistics is easy! (2008)

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 the basic concepts of resampling, then systematically 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. The ideal reader has mastered at least elementary mathematics, likes to think procedurally, and is comfortable with computers.

Publish Date
Language
English

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Edition Availability
Cover of: Statistics is easy!
Statistics is easy!
2008, Morgan & Claypool Publishers
electronic resource / in English

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Book Details


Table of Contents

The basic idea
Bias corrected confidence intervals
Pragmatic considerations when using resampling
Terminology
The essential stats
Mean
Why and when
Calculate
Example
Pseudocode & code
Difference between two means
Why and when
Calculate
Example
Pseudocode & code
Chi-squared
Why and when
Calculate with example
Pseudocode & code
Calculate with example for multiple variables
Pseudocode & code
Fisher S exact test
Why and when
Calculate with example
Pseudocode & code
One-way ANOVA
Why and when
Calculate with example
Statistics is easy
Pseudocode & code
Multi-way ANOVA
Why and when
Calculate with example
Pseudocode & code
Linear regression
Why and when
Calculate with example
Pseudocode & code
Linear correlation
Why and when
Calculate & example
Pseudocode & code
Multiple regression
Multiple testing
Why and when
Family wise error rate
False discovery rate
Case study: New Mexico's 2004 presidential ballots
Take a close look at the data
What questions do we want to ask
How do we attempt to answer this question
Next: effect of ethnicity for each machine type
We have used the following techniques
What did we find out?

Edition Notes

Part of: Synthesis digital library of engineering and computer science.

Title from PDF t.p. (viewed on October 15, 2008).

Series from website.

Includes bibliographical references (p. 69-70).

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Published in
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Series
Synthesis lectures on mathematics and statistics -- #1
Other Titles
Synthesis digital library of engineering and computer science.

Classifications

Dewey Decimal Class
519.5
Library of Congress
QA278.8 .S527 2008

The Physical Object

Format
[electronic resource] /

Edition Identifiers

Open Library
OL25553402M
ISBN 13
9781598297782, 9781598297775
OCLC/WorldCat
241487825

Work Identifiers

Work ID
OL16957653W

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July 24, 2024 Edited by ImportBot import existing book
July 29, 2014 Created by ImportBot import new book