JSM Activity #CE_25CThis is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2004 Program page |
Legend: = Applied Session,
= Theme Session,
= Presenter FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center |
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CE_25C | Tue, 8/10/04, 8:15 AM - 4:15 PM | FRY-Tudor 8 |
Statistical Analysis and Data Display (1 Day Course) - Continuing Education - Course | ||
ASA, Section on Statistical Graphics | ||
Instructor(s): Richard Heiberger, Temple University, Burt Holland, Temple University | ||
The course is based on the presenters' forthcoming book, Statistical Analysis and Data Display: An Intermediate Course, due from Springer later this year. We emphasize the graphical display of data. We show graphs, how to construct and interpret them, and how they relate to the tabular outputs that appear automatically when a statistical program "analyzes" a data set. The graphs are not automatic and so must be requested. Gaining an understanding of a data set is always more easily accomplished by looking at appropriately drawn graphs than by examining tabular summaries. In our opinion, graphs are the heart of most statistical analyses; the corresponding tabular results are formal confirmations of our visual impressions. We use graphs for statistical research and analysis, that is for exploring and designing new techniques of analysis, as well as for analysis. Prerequisites: Some knowledge of regression and analysis of variance. Familiarity with statistical software. | ||
JSM 2004
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |