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This course will cover the basics of modern statistical analysis with a view toward applications in the social sciences and sciences. Topics include exploratory data analysis, elements of probability theory, basic statistical inference, and introduction to statistical modeling. The course focuses on the application of statistics tools to solve problems, to make decisions, and the use of statistical thinking to understand the world.
Grading: no pass/fail option,
no fifth course option
students complete homework, multiple choice quizzes and exams (including remote oral exams), but also present applied projects. Students can expect to spend time getting familiar with statistical software.
MATH 130 (or equivalent); not open to students who have completed STAT 101 or equivalent
Economics majors, sophomores
students with calculus background should consider STAT 201, 202 or 302 instead. Students without any calculus background should consider STAT 101. Please refer to the placement chart on the department website for more information.
Course analyzes data