id: 05705098
dt: j
an: 2011f.00649
au: Sanchez, Juana; He, Yan
ti: Internet data analysis for the undergraduate statistics curriculum.
so: J. Stat. Educ. 13, No. 3 (2005).
py: 2005
pu: Taylor \& Francis, Abingdon, Oxfordshire; American Statistical Association
    (ASA), Alexandria, VA
la: EN
cc: K65 K85
ut: undergraduate study; internet; data analysis; statistics; textbooks; course
    content; case studies; probability; online searching; search
    strategies; computer networks; probability distributions
ci: 
li: 
ab: Summary: Statistics textbooks for undergraduates have not caught up with
    the enormous amount of analysis of Internet data that is taking place
    these days. Case studies that use Web server log data or Internet
    network traffic data are rare in undergraduate Statistics education.
    And yet these data provide numerous examples of skewed and bimodal
    distributions, of distributions with thick tails that do not follow the
    usual models studied in class, and many other interesting statistical
    curiosities. This paper summarizes the results of research in two areas
    of Internet data analysis: users’ web browsing behavior and network
    performance. We present some of the main questions analyzed in the
    literature, some unsolved problems, and some typical data analysis
    methods used. We illustrate the questions and the methods with large
    data sets. The data sets were obtained from the publicly available pool
    of data and had to be processed and transformed to make them available
    for classroom exercises. Students in Introductory Statistics classes as
    well as Probability and Mathematical Statistics courses have responded
    to the stories behind these data sets and their analysis very well. The
    message in the stories can be conveyed at a descriptive or a more
    advanced level.
rv: