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Statistics for Technology A Course in Applied Statistics, Third Edition [Paperback]

$133.99       (Free Shipping)
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  • Category: Books
  • Author:  Chatfield, Chris
  • Author:  Chatfield, Chris
  • ISBN-10:  0412253402
  • ISBN-10:  0412253402
  • ISBN-13:  9780412253409
  • ISBN-13:  9780412253409
  • Publisher:  Chapman and Hall/CRC
  • Publisher:  Chapman and Hall/CRC
  • Pages:  384
  • Pages:  384
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Sep-1983
  • Pub Date:  01-Sep-1983
  • SKU:  0412253402-11-MPOD
  • SKU:  0412253402-11-MPOD
  • Item ID: 100890615
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.
The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.
Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.
Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.INTRODUCTION
Outline of Statistics
Simple Ways of Summarizing Data
Introduction
Graphical Methods
Summary Statistics
THEORY
The Concept of Probability
Probability and Statistics
Some Definitions
Types of Events
Permutations and Combinations
Random Variables
Discrete Distributions
The Discrete Probability Distribution
The Binomial Distribution
The Binomial Model
Types of Distribution
The Mean and Variance of the Binomial Distribution
The Poisson Distribution
Bivariate Discrete Distributions
Continuous Distributions
Definitions
The Mean and Variance of Continuous Distributions
The Normal Distribution
Uses of the Normal Distribution
Normal Probability Paper
The Exponential Distribution
Bivariate Continuous Distributions
Estimation
Point and Interval Estimates
Properties of the Expected Value
The Sampling Distribution of (INSERT SYMBOL)
The Sampllƒ¼
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