STAT 2

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Cengage Learning, Jan 1, 2011 - Mathematics - 368 pages
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Created through a student-tested, faculty-approved review process, STAT 2 is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners. This concise STAT 2 includes all of the key concepts that instructors require and a full suite of teaching and learning aids.
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The book does not have solutions, it is confusing and does not give examples for problems.

Contents

Statistics
2
Descriptive Analysis and Presentation of SingleVariable Data
22
Descriptive Analysis and Presentation of Bivariate Data
54
Probability
74
Probability Distributions Discrete Variables
100
Normal Probability Distributions
118
Sample Variability
136
Introduction to Statistical Inferences
152
Inferences Involving Two Populations
208
Applications of ChiSquare
236
Analysis of Variance
254
Linear Correlation and Regression Analysis
272
Elements of Nonparametric Statistics
298
Introductory Concepts and Review Lessons
326
Tables
327
Index
351

Inferences Involving One Population
182

Common terms and phrases

About the author (2011)

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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