Statistics: A Gentle Introduction / Edition 1

Statistics: A Gentle Introduction / Edition 1

by Frederick L. Coolidge
     
 

ISBN-10: 0761954856

ISBN-13: 9780761954859

Pub. Date: 12/28/2000

Publisher: SAGE Publications

Doing statistics for the first time? ('Don't panic'), says Fred Coolidge. He shows how statistics needn't be difficult or dull. He likens the role of the statistician to a detective, searching for clues to causation at the scene of a crime. He minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes practical assignments.

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Overview

Doing statistics for the first time? ('Don't panic'), says Fred Coolidge. He shows how statistics needn't be difficult or dull. He likens the role of the statistician to a detective, searching for clues to causation at the scene of a crime. He minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes practical assignments. The book contains a wealth of real-world examples that give students a sense of how the science of statistics works, solves problems and helps us make informed choices about the world we live in.

Product Details

ISBN-13:
9780761954859
Publisher:
SAGE Publications
Publication date:
12/28/2000
Edition description:
Older Edition
Pages:
304
Product dimensions:
6.69(w) x 9.53(h) x (d)

Related Subjects

Table of Contents

A Gentle Introduction
Descriptive Statistics
Distributions of Numbers
Statistical Parameters
Standard Scores, the Z Distribution and Hypothesis Testing
Inferential Statistics
The Archetypal Experiment, Hypothesis Testing, and the Z Distribution
An Introduction to Correlation
The Statistical Analysis of the Archetypal Experiment
The t-Test for Independent Groups
Variations on the Archetypal Experiment
The t-Test for Dependent Groups
Analysis of Variance
One Factor Completely Randomized Design
After a Significant Analysis of Variance
Multiple Comparison Tests
Analysis of Variance
One Factor Repeated Measures Design
Analysis of Variance
Two Factor Completely Randomized Design
Factorial Analysis of Variance
Additional Designs
Nonparametric Statistics
Chi Square
Other Statistical Parameters and Tests

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