STAT 360 Fall 2014 Statistical Inference (Q)

This course will introduce students to advanced mathematical concepts and techniques for a deeper understanding of statistical inference. Many topics from STAT 201 such as random variables, the central limit theorem or how to test and estimate unknown parameters will be revisited and put on a more rigorous footing. In addition, emphasis will be placed on simulation and resampling (e.g., permutation and bootstrap) approaches to statistical inference and implemented with the statistical software R.
Class Format: lecture
Requirements/Evaluation: evaluation will be based on problem sets and exams
Additional Info: may not be taken on a pass/fail basis
Additional Info2:
Prerequisites: MATH 150, MATH 250 and STAT 201
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Divisional Attributes: Division III,Quantitative and Formal Reasoning
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Enrollment Limit: none
Expected Enrollment: 15
Class Number: 1523
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT 360 - 01 (F) LEC Statistical Inference (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Richard D. De Veaux
TF 2:35 PM-3:50 PM Griffin 6 1523
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