Elementary Statistics / Edition 11

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Overview

ELEMENTARY STATISTICS, Eighth Edition offers comprehensive coverage of elementary statistics in a language that speaks to today's students. This text goes beyond formulas, offering 'real-world' data and examples that present statistics as a useful tool in real-world applications, e.g. physical and social sciences, business, and engineering. The authors promote the learning of statistics in a context that relates to personal experience. ELEMENTARY STATISTICS features modern ideas by integrating the use of computer output and instruction for every exercise.
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Editorial Reviews

Booknews
A textbook for an introductory course for students who need a working knowledge of statistics but do not have a strong mathematical background. Johnson and Kuby (both Monroe Community College) suggest at least one semester of college mathematics for students who have not completed intermediate algebra. They strive to present the concepts and methods in a context familiar and useful to students, and focus on using computers and interpreting the outcome. The CD contains data sets, concept links, short videos, longer tutorials, and lectures for lecture presentation or notes. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780538733502
  • Publisher: Cengage Learning
  • Publication date: 1/1/2011
  • Series: Available Titles Aplia Series
  • Edition description: New Edition
  • Edition number: 11
  • Pages: 832
  • Sales rank: 508,256
  • Product dimensions: 8.80 (w) x 11.00 (h) x 1.20 (d)

Meet the Author

Robert R. Johnson is Professor of Mathematics Emeritus and a former chair of the Mathematics Department at Monroe Community College. He received his B.S. from SUNY Cortland and his M.A. from University of Northern Iowa, both in mathematics; and has studied statistics at University of Iowa and Rochester Institute of Technology. Bob was the author of ELEMENTARY STATISTICS and JUST THE ESSENTIALS OF STATISTICS until being joined by co-author Patricia Kuby. They also co-author STAT. Professor Johnson has given several presentations about the "teaching of statistics" and the use of MINITAB in teaching statistics at various conferences and workshops. He used computers and MINITAB for over 30 years to aid in teaching statistics. He was also an active advocate for writing across the curriculum. Organizing the Beyond the Formula Statistics Conferences for teachers of Introductory Statistics was a passion from 1997 through 2005.

Patricia J. Kuby is Professor of Mathematics at Monroe Community College in Rochester, New York. Prior to coming to MCC, she taught at the Rochester Institute of Technology and worked as a statistician and programmer at General Motors. Patricia has been a co-author of ELEMENTARY STATISTICS since the eighth edition, JUST THE ESSENTIALS OF ELEMENTARY STATISTICS since the ninth edition and STAT. She has also written the accompanying Instructor's Resource Manuals and Student Solutions Manuals. Patricia is an active advocate for incorporating MINITAB and Interactive Applets into online and on-campus statistics classes and has given presentations on each of these software packages, as well as the integration of a Student Response System (clickers) in a statistics class. While at RIT, Patricia received the Excellence in Adjunct Teaching Award. She also received the Monroe Community College 2004/2005 Writing Across the Curriculum Outstanding Faculty Award for the integration of writing components into her statistics courses and the 2007/2008 SUNY Chancellor's Award for Excellence in Teaching. An MCC graduate, Patricia received a B.S. in Mathematics and an M.S. in Quality and Applied Statistics from Rochester Institute of Technology.

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Table of Contents

PART ONE: DESCRIPTIVE STATISTICS. 1. Statistics. 2. Descriptive Analysis and Presentation of Single-Variable Data. 3. Descriptive Analysis and Presentation of Bivariate Data. PART TWO: PROBABILITY. 4. Probability. 5. Probability Distributions (Discrete Variables). 6. Normal Probability Distributions. 7. Sample Variability. PART THREE: INFERENTIAL STATISTICS. 8. Introduction to Statistical Inferences. 9. Inferences Involving One Population. 10. Inferences Involving Two Populations. PART FOUR: MORE INFERENTIAL STATISTICS. 11. Applications of Chi-Square.12. Analysis of Variance. 13. Linear Correlation and Regression Analysis. 14. Elements of Nonparametric Statistics. Appendix A: Basic Principles of Counting. Appendix B: Tables. Answers to Selected Exercises. Answers to Chapter Practice Tests. Computer and Calculator Instructions. Index. Credits. Formula Card.


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