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Modern Statistics: A Canadian Perspective, 1st Edition

Modern Statistics: A Canadian Perspective, 1st Edition

By Bill Goodman
Print Book
$212.95
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Instructional Resources
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Hardbound Book
ISBN-10: 0176251790
ISBN-13: 9780176251796
Publisher: Top Hat
Edition: 1st
Copyright: 2009

Computers have revolutionized what can be done in statistics and how it can be done, but introductory statistics textbooks have not always kept pace. Maximizing the potential of a computer-enriched, introductory statistics course by acknowledging what the computer can do, Goodman has discarded outdated tables and procedures, introduced when it was assumed calculation could only be done by pen and calculator. Enhancing the content and presentation of traditional methods, Goodman offers a fresh, experiential introduction to statistical concepts and calculations, while providing new possibilities for statistical exploration and experience. The goal of Modern Statistics is to take full advantage of the computer resources now available to students of statistics, fully integrating the coverage of the statistics curriculum with the related coverage of relevant statistical software. Goodman has thus created a modern approach to statistical methods -- an approach that encourages and promotes critical thinking in the application and interpretation of modern statistical techniques.

Features

  • Experiential Computer Exercises which allow the student to perform experiments, simulations, and demonstrations that would not have been realistically possible with prior technologies
  • Hands On sections for computer use
  • In Brief boxes integrated throughout the book offer brief instructions on how to perform cutting edge calculations using Excel, Minitab, or SPSS
  • End Of Chapter material divided into Basic Exercises and Application Exercises
  • Numerous case examples
  • Appendices include tables of Formulas, Figures, and Examples—in each case page numbers are given for easy reference

Table of Contents

  • Part 1: Statistical Data
  • Chapter 1: Introduction to Statistical Data
  • Chapter 2: Obtaining the Data
  • Part 2: Descriptions of Data
  • Chapter 3: Displaying Data Distributions
  • Chapter 4: Measures of Location
  • Chapter 5: Measures of Spread and Shape
  • Part 3: Probability and Distributions
  • Chapter 6: Concepts of Probability
  • Chapter 7: Discrete Probability Distributions
  • Chapter 8: Continuous Probability Distributions
  • Part 4: Samples and Estimates
  • Chapter 9: Introduction to Sampling Distributions
  • Chapter 10: Estimates and Confidence Intervals
  • Part 5: Tests for Statistical Significance
  • Chapter 11: One-Sample Tests of Significance
  • Chapter 12: Two-Sample Tests of Significance
  • Chapter 13: Non-Parametric Tests of Significance
  • Chapter 14: Analysis of Variance (Anova)
  • Part 6: Measures and Tests for Association
  • Chapter 15: Measures and Tests for Association
  • Chapter 16: Multiple Linear Regression
  • Chapter 17: Association with Time: Time Series Analysis

Author Information

Bill Goodman

Dr. William Goodman is an Associate Professor at the University of Ontario Institute of Technology, in the Faculty of Business and Information Technology. He has taught courses in Statistics, Economics, Occupational Health and Safety, and other areas, and published extensively on related subjects—including computer-based Economics simulations, numerous articles, papers, and a statistics textbook. Besides research interests in risk analysis, critical thinking assessment, and survey reliability, he has studied the distribution of incident-outcome severities with respect to industrial and radiological health and safety. During a secondment at Ontario Hydro, Health and Safety Division (1990-1992), he collaborated in research in the areas of health physics and epidemiology, and on the potential hazards of Electromagnetic Field radiation. He also developed the core model for analyzing severe-outcome accidents, which he has refined and applied commercially on data for Ontario Power Generation, Atomic Energy Control Board, Ault Foods, Bruce Nuclear, Health Canada, and the CANDU Owners Group, among others. He has a special interest in the educational applications of computers, and is participating in related studies on this theme for both the Faculty of Business and Information Technology and the Faculty of Health Science. He is also collaborating at UOIT in research for the Centre for the Study of Violence. Prior to joining the university he was Acting Dean of the School of Business, Durham College, where he had previously been a professor. His Masters and PhD were earned from the University of Waterloo, from which he was awarded the Gold Medal for his Masters dissertation. His doctoral-research included focuses on decision theory, knowledge-modeling theory (including Expert Systems and formal logic), and philosophy of education.