Improving learning outcomes in the Introductory Statistics course – Getting hands-on with applets
Drs. Paul Velleman and Dick De Veaux discuss the use of applets to encourage statistical thinking
Paul Velleman, Cornell University
Dick De Veaux, Williams College
Students learn better by discovery than by passively listening to a lecture. Some statistics concepts are particularly well-suited for interactive discovery. The De Veaux/Velleman content has always relied on real data. Using that data in hands-on applets engages students and helps them visualize, comprehend — and recall — fundamental statistics ideas. In this webinar we'll cover how to use statistics concept applets both in class and with in hands-on assignments to encourage statistical thinking and promote learning.
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About the speakers
Paul Velleman, Cornell University
Paul F. Velleman has an international reputation for innovative Statistics education. He is the author and designer of the multimedia Statistics program ActivStats. He also developed the award-winning statistics program Data Desk, and the Internet site Data and Story Library (DASL) (DASL.datadesk.com), which provides data sets for teaching Statistics. Paul’s understanding of using and teaching with technology informs much of his content's approach.
Paul has taught Statistics at Cornell University since 1975, where he was awarded the MacIntyre Award for Exemplary Teaching. He holds an B.A. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees in Statistics from Princeton University, where he studied with John Tukey. His research often deals with statistical graphics and data analysis methods. Paul co-authored (with David Hoaglin) ABCs of Exploratory Data Analysis. Paul is a Fellow of the American Statistical Association and of the American Association for the Advancement of Science.
Dick De Veaux, Williams College
Richard D. De Veaux is an internationally known educator and consultant. He has taught at the Wharton School and the Princeton University School of Engineering. He is the C. Carlisle and M. Tippit Professor of Statistics at Williams College, where he has taught since 1994. He is a fellow of the American Statistical Association (ASA) and an elected member of the International Statistical Institute (ISI). Dick is also well known in industry, where for more than 30 years he has consulted for such Fortune 500 companies as American Express, Hewlett-Packard, Alcoa, DuPont, Pillsbury, General Electric, and Chemical Bank. His research focuses on the analysis of large data sets and data mining in science and industry.
Paul and Dick write a number of Introductory and Business Statistics titles, including the new Intro Stats, 6e.