STAT 201
Statistics and Data Analysis Spring 2020 (also offered Fall 2019)
Division III Quantative/Formal Reasoning

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Statistics can be viewed as the art and science of turning data into information. Real world decision-making, whether in business or science is often based on data and the perceived information it contains. Sherlock Holmes, when prematurely asked the merits of a case by Dr. Watson, snapped back, “Data, data, data! I can’t make bricks without clay.” In this course, we will study the basic methods by which statisticians attempt to extract information from data. These will include many of the standard tools of statistical inference such as hypothesis testing, confidence intervals, and linear regression as well as exploratory and graphical data analysis techniques. This is an accelerated introductory statistics course that involves computational programming and incorporates modern statistical techniques.
The Class: Type: lecture
Limit: 40
Expected: 40
Class#: 3558
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: based primarily on performance on quizzes and exams
Prerequisites: MATH 150 or equivalent; not open to students who have completed STAT 101 or STAT 161 or equivalent
Unit Notes: students with a 5 on AP Stats should enroll in STAT 202; students with a 4 on AP Stats should consult the department; students with MATH 130/140 background should consider STAT 161; students with no calc. should consider STAT 101
Distributions: Division III Quantative/Formal Reasoning
Attributes: BIGP Recommended Courses
COGS Related Courses
EVST Methods Courses
PHLH Statistics Courses

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