Statistics 571
Statistical Methods

This course provides graduate credit for the following programs: Graduate Certificate in Applied Statistical Strategies Intercollegiate Graduate Statistics Program (IGSP) MS in Statistics Ph.D. Concentration in Statistics Numerous other graduate programs

Class Objectives - By the end of this class you will: Understand the main statistical concepts used to extract information from data Be able to use the JMP statistical software package to extract information from most common forms of data Be prepare to take follow-up courses in statistics

Summer 2002 Class Pictures Distance Education Listing of This Course Centra (actually Liveonline) Due Dates Syllabus Course Topics with Coverage Target Number of Days Transparency Masters and Handouts JMP and Other Software Tutorials Data Sets Used in Notes Data Sets Used in the Homework (Book Diskette Zipped) Homework Log Book Reports for Bonus Points Project Past Exams Student Comments About the Course Textbook Home Page (Check Textbook Errata) References Instructor's Home Page Dr Jackie Teleford's Course Home Page Using the Same Textbook Graduate Catalog: Statistics Statistics Department

StatLib---Datasets Archive A great source of interesting data sets that you can use for your project The Data and Story Library A wonderful set of stories with their associated data sets Government Statistics Rice Virtual Lab in Statistics This site has many Java APPLET illustrating statistical principles, an on-line statistics textbook, and examples of real data analyses. This site is a must to visit. Statistical Assessment Service The Statistical Assessment Service examines the way that scientific, quantitative, and social research are presented by the media, and works with journalists to help them convey this material more accurately and effectively. Chance News More statistics in the news. Washington Post Poll Center Gallup Polls Florence Nightingale's Statistical Graphics Statistical Education and Software Virtual Laboratories in Probability and Statistics is an integrated set of course materials that includes expository text, applets, data sets, graphics, biographical sketches, and other elements. Mathematical expressions are encoded in MathML, the Mathematics Markup Language, so that they are displayed in proper notation and can be imported into other applications. The Probability/Statistics Object Library is a library containing the Java applets in the Virtual Labs project, as well as the components of the applets and Java documentation. The applets are designed to be self-contained so that they can be downloaded and embedded in a teacher's own web pages. The components adhere to a carefully designed object model, and can be used to create custom applets without having to program the low-level details. All objects in the library are freely available for use, modification or redistribution under the General Public License.

Other Java Applets Illustrating Statistical Principles: Let's Make a Deal The Central Limit Theorem Confidence Intervals Histograms Hypothesis Test Normal Distribution Probability and Quantile Applets of Standard Normal Regression T Distribution Z-scores and the Normal Distribution Kyle Siegrist's Probability/Statistics Java Applets