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# Statistics: Concepts and Applications / Edition 1

ISBN-10: 025611935X

ISBN-13: 9780256119350

Pub. Date: 01/28/1995

Publisher: McGraw-Hill Higher Education

Statistics: Concepts and Applications is a carefully researched general statistics text that covers the latest topics and applications of statistics. Aczel's text has an integrated real world emphasis and maintains a strong cross disciplinary emphasis,punctuated by superior applications. "The use of magazine and newspaper articles in his examples to illustrate

## Overview

Statistics: Concepts and Applications is a carefully researched general statistics text that covers the latest topics and applications of statistics. Aczel's text has an integrated real world emphasis and maintains a strong cross disciplinary emphasis,punctuated by superior applications. "The use of magazine and newspaper articles in his examples to illustrate statistical methodology is novel and interesting" - Joe Ibrahim - Northern Illinois University.

## Product Details

ISBN-13:
9780256119350
Publisher:
McGraw-Hill Higher Education
Publication date:
01/28/1995
Pages:
533

## Related Subjects

1. Information, Everywhere
1.2 Methods of Displaying Data
1.3 Percentile, Quartiles, and the Median
1.4 Box Plots
1.5 Samples and Populations
1.6 Measures of Central Tendency
1.7 Measures of Variability
1.8 Caution, Care with Numbers, and Ethics
2. What are the Chances?
2.1 Introduction
2.2 Basic Definitions, Events, Sample Space, and Probabilities
2.3 Basic Rules for Probability Mutually Exclusive Events
2.4 Conditional Probability
2.5 Independence of Events Product Rules for Independent Events
2.6 (Optional) Bayes Theorem
3. Chance Quantities
3.1 Introduction
3.2 Expected Values of Discrete Random Variable
3.3 The Binomial Distribution
3.4 Continuous Random Variable
4. The Bell-Shaped Curve
4.1 Introduction
4.2 The Standard Normal Distribution
4.3 The Transformation of Normal Random Variable
4.4 The Relationship Between X and Z and the Use of the Inverse Transforation
4.5 (Optional) The Normal Distribution as an Approximation to Other Probability Distributions
(and more...)

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