Probability and Statistics: with Integrated Software Routines

Other | October 1, 2005

byDeep, Ronald, Ronald Deep

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Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique.

The book comes with a CD containing the interactive software leading to the Statistical Genie. The student can issue commands repeatedly while making parameter changes to observe the effects. Computer programming is an excellent skill for problem solvers, involving design, prototyping, data gathering, testing, redesign, validating, etc, all wrapped up in the scientific method.

See also: CD to accompany Probability and Stats with Integrated Software Routines (0123694698)

* Incorporates more than 1,000 engaging problems with answers
* Includes more than 300 solved examples
* Uses varied problem solving methods

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From the Publisher

Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique.The book comes with a CD c...

Format:OtherDimensions:712 pages, 1 × 1 × 1 inPublished:October 1, 2005Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080480381

ISBN - 13:9780080480381

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Extra Content

Table of Contents

Chapter 1 - INTRODUCTION TO PROBABILITY
Chapter 2 - RANDOM VARIABLES, MOMENTS, AND DISTRIBUTIONS
Chapter 3 - SPECIAL DISCRETE DISTRIBUTIONS
Chapter 4 - SPECIAL CONTINUOUS DISTRIBUTIONS
Chapter 5 - SAMPLING, DATA DISPLAYS, MEASURES OF CENTRAL TENDENCIES, MEASURES OF DISPERSION, AND SIMULATION
Chapter 6 - POINT AND INTERVAL ESTIMATION
Chapter 7 - HYPOTHESIS TESTING
Chapter 8 - REGRESSION
Chapter 9 - ANALYSIS OF VARIANCE
Chapter 10 - NONPARAMETRIC STATISTICS