Statistics is easy!
By: Shasha, Dennis Elliott.
Contributor(s): Wilson, Manda.
Material type:
BookSeries: Synthesis lectures on mathematics and statistics: #1.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2008Description: 1 electronic text (vi, 70 p. : ill.) : digital file.ISBN: 9781598297782 (electronic bk.); 9781598297775 (pbk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Nonparametric statistics | Resampling (Statistics)DDC classification: 519.5 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE119 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 69-70).
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?
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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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.
Also available in print.
Title from PDF t.p. (viewed on October 15, 2008).
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