Topics covered will include two-sample t-tests, nonparametric procedures, analysis of variance, linear and logistic regression.
COURSE DESCRIPTION: Statistical thinking and data analytics are necessary skills for graduates in most disciplines. Intermediate statistics builds on the basic tools of data analysis and the methods of statistical inference that are introduced in Stat 202 and Stat 203. In this course, we will analyze data from designed experiments and observational studies, formulate questions and interpret the results in the context of the statistical problem of interest. Emphasis will be placed on determining the appropriate statistical model, understanding the assumptions of the model, assessing whether the data satisfies the assumptions, and improving the model if necessary. Topics covered will include two-sample t-tests, nonparametric procedures, analysis of variance, linear and logistic regression. Statistical software will be integrated into the course for exploration, analysis, and demonstration of concepts.
PREREQUISITE: Stat 202 Basic Statistics or Stat 203 Basic Statistics with Calculus.
(Note: These items are on reserve for class use and may be checked out at the reserve desk in the library.)
These texts are available online through the library,
SOFTWARE: We will be using the statistical software SPSS to analyze data in class, on homework, and on exams. SPSS can be accessed through AU’s VCL (vcl.american.edu) which you should install on your own computer by class on Friday. You can find instructions on how to install VCL on the class’ Blackboard page under the Information tab. SPSS is also available on the computers in many of the statistical labs at AU including our classroom. I will instruct you on the use of SPSS throughout the semester. If you would like additional help with SPSS or VCL, the Research Applications and Methods Center located in the Library offers drop-in support and appointments. CTRL offers an Intro to SPSS workshop.