WORKSHOP STATISTICS DISCOVERY WITH DATA EDITION 3 Workshop Statistics: The Standard in Active Learning When introduced in 1996, Workshop Statistics: Discovery with Data set the standard for activity-based, technology-intensive learning with its constructivist approach to introductory statistics. Authors Allan J. Rossman and Beth L. Chance, both of California Polytechnic State University, San Luis Obispo, have carefully retained the hallmark features of Workshop Statistics in this third edition, once again providing a resource that supports active learning and conceptual understanding through the analysis of real data and use of technology.
New features include * Increased student support with more expository material, examples, definitions, and hints * New and updated datasets and new activities * Authentic studies address specific, relevant, and engaging research questions * New sequence of topics emphasize statistical thinking, data collection, and scope of conclusions * Step-by-step technology instruction links activities to interactive Java applets * New design adds visual appeal, clarifies features, and facilitates navigation between topics This edition is supplemented by the following resources& * Student Companions: Excel, Minitab, JMP, SPSS * Web Resources for students and instructors * Print and online Instructor Resources and Adjunct Guide * AP Guide for secondary instructors
Table of Contents
Annotated Contents. Preface. To the Student. Organization of Workshop Statistics . List of Activities by Application. List of Activities Using Student-Generated Data. UNIT 1. Collecting Data and Drawing Conclusions. TOPIC 1 Data and Variables. TOPIC 2 Data and Distributions. TOPIC 3 Drawing Conclusions from Studies. TOPIC 4 Random Sampling. TOPIC 5 Designing Experiments. UNIT 2. Summarizing Data. TOPIC 6 Two-Way Tables. TOPIC 7 Displaying and Describing Distributions. TOPIC 8 Measures of Center. TOPIC 9 Measures of Spread. TOPIC 10 More Summary Measures and Graphs. UNIT 3. Randomness in Data. TOPIC 11 Probability. TOPIC 12 Normal Distributions. TOPIC 13 Sampling Distributions: Proportions. TOPIC 14 Sampling Distributions: Means. TOPIC 15 Central Limit Theorem. UNIT 4. Inference from Data: Principles. TOPIC 16 Confidence Intervals: Proportions. TOPIC 17 Tests of Significance: Proportions. TOPIC 18 More Inference Considerations. TOPIC 19 Confidence Intervals: Means. TOPIC 20 Tests of Significance: Means. UNIT 5. Inference from Data: Comparisons. TOPIC 21 Comparing Two Proportions. TOPIC 22 Comparing Two Means. TOPIC 23 Analyzing Paired Data. UNIT 6. Inferences with Categorical Data. TOPIC 24 Goodness-of-Fit Tests. TOPIC 25 Inference for Two-Way Tables. UNIT 7. Relationships in Data. TOPIC 26 Graphical Displays of Association. TOPIC 27 Correlation Coefficient. TOPIC 28 Least Squares Regression. TOPIC 29 Inference for Correlation and Regression. TABLE I Random Digits. TABLE II Standard Normal Probabilities. TABLE III t-Distribution Critical Values. TABLE IV Chi-Square Distribution Critical Values. APPENDIX A Student Glossary. APPENDIX B Sources for Studies and Datasets. APPENDIX C List of Data Files and Applets. INDEX.
Allan Rossman and Beth Chance, professors of statistics at California Polytechnic State University in San Luis Obispo, are coauthors of the Workshop Statistics coursebook series and Investigating Statistical Concepts, Applications, and Methods (Duxbury). They have received several grants from the National Science Foundation to support curriculum development projects for introductory statistics. They have also served as coeditors of STATS: The Magazine for Students of Statistics and the Proceedings of the Seventh International Conference on Teaching Statistics . They have published articles on teaching statistics in The American Statistician and The College Mathematics Journal , and have given scores of statistics education presentations and workshops nationally and internationally. They recently received an award from the MAA's special interest group on statistics for a presentation about assessment in a session about implementing GAISE guidelines. Both have served in various leadership roles for the Advanced Placement program in Statistics. Allan Rossman received his PhD in statistics from Carnegie Mellon University. Before he came to Cal Poly, he taught for twelve years at Dickinson College in Pennsylvania, where he served a term as department chair. He is president of the International Association for Statistics Education from 2007-2009 and was the Program Chair for the 2007 Joint Statistical Meetings. He has served as chair of the ASA's Section on Statistical Education and of the ASA/MAA Joint Committee on Undergraduate Statistics. He was selected as Fellow of the American Statistical Association in 2001. Allan served as project director for the Mathematical Association of America's NSF-funded STATS (Statistical Thinking with Active Teaching Strategies) project, which conducted workshops for mathematicians who teach statistics. Beth Chance received her PhD in operations research, with an emphasis in statistics and a minor in education from Cornell University. She taught at University of the Pacific before moving to Cal Poly. She has served on the Test Development Committee for Advanced Placement Statistics and as secretary/treasurer of the ASA Section on Statistical Education. She was the inaugural recipient of the American Statistical Association's Waller Education Award for Excellence and Innovation in Teaching Introductory Statistics in 2002 and received the 2003 Mu Sigma Rho Statistical Education Award. She was selected as a Fellow of the ASA in 2005. Beth's professional interests include development of curricular materials for introductory statistics and research into how students learn statistics, particularly on the role of assessment and technology. She and her collaborators have published in the Journal of Statistics Education and the Statistics Education Research Journal (SERJ) , and she has collaborated on several chapters and books aimed at enhancing teacher preparation to teach statistics. She currently serves as the assistant editor for SERJ .