Created through a "reader-tested, expert-approved" review process, STAT is an extremely concise, visually appealing new book that introduces essential statistical concepts without any delays or distractions. This brief, affordable paperback includes a full suite of learning aids to accommodate your busy lifestyle, including chapter-by-chapter study cards, self-quizzes to help you review the most important concepts, downloadable flash cards, and interactive video, features that let you learn wherever you are, whenever you have time. From its abbreviated, no-nonsense title to its useful content and engaging style, STAT is the perfect general introductory statistics book for modern learners.
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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. He is the co-author of JUST THE ESSENTIALS OF ELEMENTARY STATISTICS, Ninth Edition. 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 has been using computers and MINITAB for over 30 years to aid in teaching statistics. He is also an active advocate for writing across the curriculum. Organizing the Beyond the Formula Statistics Conferences for teachers of Introductory Statistics has been a passion since 1997.
Patricia J. Kuby is Associate 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. While at RIT, Patricia received the Excellence in Adjunct Teaching Award. Patricia is co-author of JUST THE ESSENTIALS OF ELEMENTARY STATISTICS, Ninth Edition. She has also written the accompanying Instructor's Resource Manual and Statistical Tutor. Patricia is an active advocate for incorporating MINITAB® and CyberStats into online and on-campus statistics classes and has given presentations on each of these software packages. 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. An MCC graduate, Patricia received a B.S. in Mathematics and an M.S. in Quality and Applied Statistics from Rochester Institute of Technology.
Part I: DESCRIPTIVE STATISTICS. 1. Statistics. 2. Descriptive Analysis and Presentation of Single-Variable Data. 3. Descriptive Analysis and Presentation of Bivariate Data. Part II: PROBABILITY. 4. Probability. 5. Probability Distributions (Discrete Variables). 6. Normal Probability Distributions. 7. Sample Variability. Part III: INFERENTIAL STATISTICS. 8. Introduction to Statistical Inferences. 9. Inferences Involving One Population. 10. Inferences Involving Two Populations. Part IV: MORE INFERENTIAL STATISTICS. 11. Applications of Chi-Square. 12. Analysis of Variance. 13. Linear Correlation and Regression. 14. Elements of Nonparametric Statistics.
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Book Description Duxbury Press, 2009. Paperback. Book Condition: New. New item. Bookseller Inventory # QX-262-01-9986409