Web-based tools for modelling and analysis of multivariate data: California ozone pollution activity.
This article presents a hands-on web-based activity motivated by the relation between human health and ozone pollution in California. This case study is based on multivariate data collected monthly at 20 locations in California between 1980 and 2006. Several strategies and tools for data interrogation and exploratory data analysis, model fitting and statistical inference on these data are presented. All components of this case study (data, tools, activity) are freely available online at: http://wiki.stat.ucla.edu/socr/index.php/SOCR_MotionCharts_CAOzoneData. Several types of exploratory (motion charts, box-and-whisker plots, spider charts) and quantitative (inference, regression, analysis of variance (ANOVA)) data analyses tools are demonstrated. Two specific human health related questions (temporal and geographic effects of ozone pollution) are discussed as motivational challenges.
Statistics Online Computational Resource, University of California, 8125 Mathematical Science Building, Los Angeles, CA 90095, USA ; Center for Computational Biology, University of California, 8125 Mathematical Science Building, Los Angeles, CA 90095, USA.
Ivo D
ID
Dinov
Statistics Online Computational Resource, University of California, 8125 Mathematical Science Building, Los Angeles, CA 90095, USA.
Nicolas
N
Christou
SOCR; applets; case study; data analysis; ozone pollution; science education; statistics education