This is an applied course - applications of statistics in many different fields will be covered. The objectives of this course are to enable the students to understand how to think about data, to learn how to clean data and prepare for the analysis, to be able to handle graphical and methodological ways to highlight what is going on in data, summarize relationships in data using statistical models, and demonstrate the ability to highlight structure in data by doing so. Students will see many analyses of real data, and will spend lots of time doing their own statistical analyses of real data using the computer and learning to interpret the results of those analyses.  In the recitation hours, the applications will be handled with R under Anaconda and Jupyter Notebook.

I strongly urge you to bring in to me examples of statistics, probabilistic reasoning, and so on, that you see in newspapers or magazines, whether they are directly relevant to material being discussed in class or not. Such material might very well then be incorporated into class discussion.

I strongly urge you to bring in to me examples of statistics, probabilistic reasoning, and so on, that you see in newspapers or magazines, whether they are directly relevant to material being discussed in class or not. Such material might very well then be incorporated into class discussion.