Practical Methods for Data Analysis

4 credits

Basic exploratory data analysis with business examples. Data summaries, multivariate data, time series, multiway tables. Techniques include graphical display, transformation, outlier identification, cluster analysis, smoothing, regression, robustness. Cannot be taken if credit received for STAT 403/Q SCI 403. Prerequisite: B A 500 or QMETH 500. Offered: jointly with QMETH 503.