Mathematical Tools for Data Analysis
This course will endeavor to equip the student with tools to visually analyze data and to elicit questions suggested by the data. Modern technology provides tools for graphical display and simulation heretofore unavailable. This course of study introduces the student to such technological innovations and will include such topics as stemleaf plots, histograms, hanging rootograms, hanging chi-grams, box plots, contingency tables and related chi-square tests, typical values, measures of spread, regression models, Q-Q plots and nonparametric tests such as the sign test, the Wilcoxon signed rank test, Mann-Whitney tests, and Kendall's tau. The emphasis will be on exploratory data analysis in contrast to confirmatory analyses, and will utilize real data extracted from the web and elsewhere.