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Statistical Physics II
This course is second in the series of undergraduate Statistical Physics courses and features comprehensive lecture notes and assignments. Course topics include probability distributions for classical and quantum systems; microcanonical, canonical, and grand canonical partitionfunctions and associated thermodynamic potentials; conditions of thermodynamic equilibrium for homogeneous and...




http://ocw.mit.edu/OcwWeb/Physics/808Spring2005/CourseHome...



Statistical Physics I
This undergraduate course in Statistical Physics features lecture notes, problem sets with solutions, plus exams and practice exams with solutions. Course topics include probability, statistical mechanics, and thermodynamics; random variables, joint and conditional probability densities, and functions of a random variable; concepts of macroscopic variables and thermodynamic equilibrium,...




http://ocw.mit.edu/OcwWeb/Physics/8044Spring2004/CourseHom...



Mathematical Statistics
Mathematical Statistics is a graduatelevel course featuring book chapters and sections presented as lecture notes, problem sets, exams, and a description for an optional termpaper. The course covers decision theory, estimation, confidence intervals, hypothesis testing, asymptotic efficiency of estimates, exponential families, sequential analysis, and large sample theory.




http://ocw.mit.edu/OcwWeb/Mathematics/18466MathematicalSta...



Introduction to Modeling and Simulation
This undergraduate course in modeling and simulation provides lecture notes and assignments, including the famous "Let's Make a Deal," probability problem. Course topics include basic concepts of computer modeling in science and engineering using discrete particle systems and continuum fields, techniques and software for statistical sampling, simulation, data analysis and visualization, use of...




http://ocw.mit.edu/OcwWeb/NuclearEngineering/2200JIntroduc...



**ARTIST Assessment Builder
A searchable database of more than 1000 test questions for introductory statistics concepts. The user is prompted to select subject material and learning outcome expectations from a variety of question formats and then downloads the items and can edit the test with a word processor.




http://app.gen.umn.edu/artist/assessment_builder_intro.html

