Ph.D. in Statistics, 2009, University of Michigan
M.A. in Statistics, 2005, University of Michigan
B.A. in Statistics and Economics, 2002, Rutgers University
My primary area of research is statistics education. This includes aspects of teaching and learning in statistics courses, such as exploring the effects of educational technology, as well as how studies are conducted in educational settings.
101: Statistics By Example. Course goal is to develop an
understanding of the basic ideas of statistical reasoning, exposing
students to statistical techniques used in the media and and creating
informed consumers of statistics.
ST 311: Introduction to Statistics. Topics covered include data collection (surveys, experiments), descriptive statistics (measures of location, measures of dispersion, graphic presentation), sampling distributions, inferential statistics (one sample problems, regression and correlation).
ST 371: Introduction to Probability and Distribution Theory. Course provides an introduction to probability, discrete and continuous random variables and their probability distributions, and to sampling distributions.
ST511: Experimental Statistics for Biological Sciences I. Topics covered include data collection (surveys, experiments), probability, sampling distributions, confidence intervals, hypothesis tests (one and two sample problems), ANOVA, Chi-square, regression and correlation.
Office hours: Mondays and Wednesdays 1:30-3pm
For current stats majors: If I am listed as your advisor (see MyPack Portal), you will need to meet with me before you are able to register for classes each semester. An email with information on scheduling an advising appointment will be sent a few weeks prior to the start of the enrollment period.
For other students: If you would like to discuss the statistics major or minor, please drop by during one of the above times.