New York University 3 credits Applied Statistics
Introduction to the basic tools of applied statistics, using statistical software as a platform to achieve hands-on experience with real data. Topics include both descriptive (measures of location, variability, correlation, and simple regression) and inferential (probability, central limit theorem, sampling distributions, hypothesis tests, and confidence intervals) statistics. The course is not appropriate for students seeking to learn the mathematical underpinnings of these techniques.
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