STA213lecture1.beamer_1

STA213lecture1.beamer_1 - STA213 Introduction to...

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STA213: Introduction to Statistical Methods Instructor: Ioanna Manolopoulou TuThu 2.50-4.05 Physics 130 September 1, 2010
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General information I Instructor: Ioanna Manolopoulou, Old Chem 217, [email protected] I Office hours MWF 1.30-2.30pm I TA: Tommy Leininger, [email protected] Silvia Montagna, [email protected] I Course website www.stat.edu/ im30/Teaching/STA213 I HW: due once a week I Midterm: 7th Oct I Grades and materials through Blackboard (inc notes and slides) I I Thursday 09/02: short diagnostic (ungraded) quiz
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Statistics [Utts, Seeing Through Statistics] A collection of procedures and principles for gaining and analyzing information in order to help people make decisions when faced with uncertainty. I How do we gain information? Design of experiments. I How do we analyze information? I How does uncertainty come into it? Probability models. I What do the data tell us? Statistical Inference. I How do we change our behaviour according to the results? Decision theory. Obtain sample to conclude something about the population .
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Course content I Basic probability theory, Random variables, Expectations, Transformations I Common univariate distribution families: Discrete and Continuous. Examples in R. I Common multivariate distribution families. Examples in R. I Concepts of convergence Chapters 6-12 are covered in STA215. I will be using a combination of slides and blackboard. In general, theorems will appear in the slides, but proofs will be shown on the blackboard.
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Lecture content I Notation I Set theory in probability I Introduction to probability theory I Examples
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STA213lecture1.beamer_1 - STA213 Introduction to...

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