This course reviews and expands upon core topics in probability and statistics through the study and practice of data analysis. Topics include:
- Numerical and graphical summaries of data
- Hypothesis testing
- Confidence intervals
- Counts and tables
- Analysis of variance
- Regression
- Principal components
- Cluster analysis
Robert Freund is the Theresa Seley Professor in Management Science at the Sloan School of Management at MIT. He received his B.A. in Mathematics from Princeton University and M.S. and Ph.D. in Operations Research from Stanford University.
Professor Freund has served as Co-Editor of the journal Mathematical Programming and as Associate Editor of several optimization and operations research journals.
He received the Longuet-Higgins Prize in computer vision (2007). He has received numerous teaching and education awards at MIT in conjunction with the MBA core course and textbook (co-authored with Dimitris Bertsimas) Data, Models, and Decisions: the Fundamentals of Management Science.
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