Statistics is easy!

Statistics is easy! [electronic resource] / Dennis Shasha, Manda Wilson.

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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 t...

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Bibliographic Details
Online Access: Full Text (via Morgan & Claypool)
Main Author: Shasha, Dennis Elliott
Other Authors: Wilson, Manda
Other title:Synthesis digital library of engineering and computer science.
Format: Electronic eBook
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, ©2008.
Series:Synthesis lectures in mathematics and statistics (Online) ; # 1.
Subjects:
Nonparametric statistics.
Resampling (Statistics)
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?

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