STAT 201
Statistics and Data Analysis Spring 2017 (also offered Fall 2016)
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: Format: lecture
Limit: 40
Expected: 40
Class#: 3203
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: evaluation will be based primarily on performance on quizzes and exams
Prerequisites: MATH 150 or equivalent; students without any calculus background should consider STAT 101 instead
Distributions: Division III Quantative/Formal Reasoning
Attributes: BGNP Recommended Courses
COGS Related Courses
ENVS Methods Courses
PHLH Statistics Courses

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