Grade: Your grade will be determined as follows: a midterm exam (20% of your grade), a short project (20% of your grade), quizzes (20% of your grade), and a final exam (the remaining 40% of your grade).
Class Log: The homework assignments and exam dates can be found in the class log. Wednesday's class will often include a quiz based VERY closely on the assigned homework martial.
Honor Principle: On the exams and quizzes, no help is to be given or received. While working on the short project you may use any references you'd like under the condition that you always carefully reference your sources. Also, collaboration is encouraged during the process of thinking about and collecting data for your project, but every non-referenced aspect of your final write up must be entirely in your own words.
Students with disabilities: I encourage students with disabilities, including "invisible" disabilities like chronic diseases and learning disabilities, to discuss with me any appropriate accommodations that might be helpful.
X-Session: We will usually be using the X-Session as a place where you can receive advice on how to think about and solve the assigned problems.
Syllabus: In this course we will cover the three basic tools of the statistical trade: descriptive statistics, probability, and inference. First we will cover various topics in descriptive statistics, including a look at correlation and the regression line. Next we will familiarize ourselves with various probability ideas, including the understanding of discrete distributions and the central limit theorem. Lastly, we will put our first two topics together and discuss inferential statistics, including a discussion of confidence intervals and a variety of hypothesis tests.