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Statistics, General

Statistics, General
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9 Degrees that will Earn You 100k the Fastest


Leading Statistics, General Schools
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School   (degrees awarded)
Columbia University   (206 Masters degrees)
Rutgers University-New Brunswick   (62 Masters degrees)
University of California-Berkeley   (58 Bachelors degrees)
Cornell University   (51 Masters degrees)
University of Michigan-Ann Arbor   (47 Masters degrees)
University of Minnesota-Twin Cities   (47 Bachelors degrees)
Ohio State University-Main Campus   (43 Masters degrees)
California State University-East Bay   (43 Masters degrees)
University of California-Berkeley   (41 Bachelors degrees)
North Carolina State University at Raleigh   (38 Masters degrees)
University of Illinois at Urbana-Champaign   (37 Bachelors degrees)
Michigan State University   (36 Masters degrees)
University of Illinois at Urbana-Champaign   (36 Masters degrees)
Carnegie Mellon University   (35 Masters degrees)
North Carolina State University at Raleigh   (34 Bachelors degrees)
Miami University-Oxford   (34 Bachelors degrees)
Texas A & M University-College Station   (33 Masters degrees)
University of California-Davis   (31 Bachelors degrees)
Harvard University   (31 Masters degrees)
University of Chicago   (30 Masters degrees)
University of Connecticut   (30 Bachelors degrees)
Stanford University   (30 Masters degrees)
George Washington University   (29 Masters degrees)
Rutgers University-New Brunswick   (27 Bachelors degrees)
Purdue University-Main Campus   (26 Masters degrees)
University of California-Berkeley   (26 Masters degrees)
University of California-Los Angeles   (26 Bachelors degrees)
Iowa State University   (25 Bachelors degrees)
Iowa State University   (25 Masters degrees)
University of Florida   (24 Bachelors degrees)
Statistics, General Description

A general program that focuses on the relationships between groups of measurements, and similarities and differences, using probability theory and techniques derived from it. Includes instruction in the principles in probability theory, binomial distribution, regression analysis, standard deviation, stochastic processes, Monte Carlo method, Bayesian statistics, non-parametric statistics, sampling theory, and statistical techniques.

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