Syllabus

I reserve the right to make changes to the syllabus

Description

Statistics 2 is a course designed primarily as a basic introductory course for statistical thinking. It is not very mathematical. Neither linear algebra nor calculus is required, although some concepts seem more natural if you understand integration and differentiation. You do need to be comfortable with math at the level of high-school algebra (e.g., the equation of a straight line, plotting points, taking powers and roots, percentages).

The middle of the course involves a fair amount of combinatorics—counting. The emphasis of the course is critical thinking about quantitative evidence. Topics include reasoning and fallacies, descriptive statistics, association, correlation, regression, elements of probability, set theory, chance variability, random variables, expectation, standard error, sampling, hypothesis tests, confidence intervals, experiments and observational studies, as well as common techniques of presenting data in misleading ways.

Homework Assignments

Grading Structure

Calculator Policy

Advice for success

Try to solve all exercises in each chapter: Some show up on exams. Read all homework and exam questions carefully, and take them literally—don’t try to second-guess what is meant. Attend lab discussions.

Email Policy

Academic Honesty

Do your own work. Collaborating on homework is fine—but copying is not, nor is having somebody else submit assignments for you. Cheating will not be tolerated. Anyone found cheating will receive an F and will be reported to the Center for the Student Conduct.