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Introduction to Probability and Statistics Using R

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This book was expanded from lecture materials I use in a one semester upper-division undergradu- ate course entitled Probability and Statistics at Youngstown State University. Those lecture mate- rials, in turn, were based on notes that I transcribed as a graduate student at Bowling Green State University. The course for which the materials were written is 50-50 Probability and Statistics, and the attendees include mathematics, engineering, and computer science majors (among others). The catalog prerequisites for the course are a full year of calculus. The book can be subdivided into three basic parts. The first part includes the introductions and elementary descriptive statistics; I want the students to be knee-deep in data right out of the gate. The second part is the study of probability, which begins at the basics of sets and the equally likely model, journeys past discrete/continuous random variables, and continues through to multivariate distributions. The chapter on sampling distributions paves the way to the third part, which is in- ferential statistics. This last part includes point and interval estimation, hypothesis testing, and finishes with introductions to selected topics in applied statistics.

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Series Title

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Call Number

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Publisher

: ., 2010

Collation

1-412

Language

English

ISBN/ISSN

978-0-557-24979-4

Classification

NONE

Content Type

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Media Type

-

Carrier Type

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Edition

First Edition

Subject(s)

Introduction to Probability and Statistics Using R

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