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CS-STATS INSTRUCTOR'S CORNER LINKS Download R SIMPLE R HOME |
CS-STATSDepartment of Statistics This web page contains activities that involve statistical analysis of large internet data sets for Introduction to Statistics, Applied Statistics, Mathematical Statistics and Probability courses at the undergraduate level. Some activities are about the web browsing behavior of users and depend on clickstream (web server log) data. Other activities study the behavior of internet traffic data and use data on the packets that move from end to end in the network. Activities on search engines involve mostly statistical processing of text data to mimic at a toy level the use of statistics in processing user queries. And those activities on spam filtering encompass statistical analysis of mail messages. The range of activities goes from basic descriptive graphs and summary statistics to fitting of different probability models and qq plots, to statistical inference. Instructors can use most of the activities for an introductory class, or for a more advanced class in mathematical statistics, applied statistics or data analysis. There is a background story behind all the activities, consisting of literature review and main results found. This allows instructors and students to see how their results compare with those found in the literature. Answer key and R commands to do the activities are also included. Instructors interested in using this page, please contact Juana Sanchez to get the password. The initial stages of this project would not have been possible without the support of UCLA's OID grant IIP 03-20, year 2003-4. And the continuing work on the project owes much to the encouragement of Rob Gould, Director of the UCLA Center for the Teaching of Statistics, and my fellow colleagues in CTS.
Contact: Juana Sanchez |