Welcome to the Age of Data, where information is all around us, helping us live happier, healthier lives. Or does it? Do we know yet if cell phones cause cancer? Have we come to a decision on whether we should be eating lots of meat or none at all to stay healthy? Despite all of this information, it can be challenging to turn it into the knowledge from which we can make sound decisions.
Statistics is the field that aims to bridge this gap between information and knowledge and this course is an application-oriented introduction to modern statistical modeling and inference. We will discuss topics such as: study design, descriptive statistics, data visualization, random variables, probability and sampling distributions, point and interval estimates, hypothesis tests, resampling procedures, multiple regression, and Bayesian models. A wide variety of applications from the natural and social sciences will be used.
- Office: Library 304
- Office Hours: Mon/Weds 11 am to noon, and by appointment
Evening Help Session
OpenIntro: Introductory Statistics with Randomization and Simulation (2014), by Diez, Barr and Çetinkaya-Rundel, available in three formats: pdf, tablet-friendly pdf, and paperback edition. The textbook is free and open-source, but you’re encouraged to purchase the paperback edition through Amazon for < $10. The textbook is a key component of the course.
This course has three components: Problem Sets, Labs, and Exams/Quizzes. For details on the first two, see the tabs at the top of the page.
We’ll have several examinations and quizzes throughout the semester in order to challenge your understanding and provide us with a sense of where you’re at. Some will be more traditional pen and paper and others are to be done with the computer using R.