The goal of this course is to continue from the first statistics course, introducing 
statistical techniques for collecting and analyzing data with an emphasis on 
statistical thinking and how statistics is used in everyday situations. Students will 
learn how to read data summaries critically, how to produce data, how to use sound and 
appropriate methods for drawing trustworthy conclusions, how to make defensible 
descriptions and inferences about samples and populations, how to design experimental 
studies, how to distinguish between observational and experimental studies, and how to 
communicate the appropriate conclusions of statistical studies (both orally and 
written). Students will develop a basic understanding of the practical application of 
statistics by preparing presentations and reports that feature statistical methods and 
results, often working in groups on these projects. Use of technology is integrated 
into the course using statistical software, statistical calculators, web based applets, 
and presentation and word processing software. Current case studies and media items are 
discussed and analyzed in the course.

Course topics include types of study designs, power of a test, comparing two groups for 
proportions and means (estimation and hypothesis tests), chi-square tests and 
appropriate follow-up procedures, linear regression (descriptive and inferential), 
multiple regression, residual analysis, logistic regression, analysis of variance, and 
nonparametric procedures.