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STA213: Introduction to Statistical Methods
Instructor: Ioanna Manolopoulou
TuThu 2.504.05 Physics 130
September 1, 2010
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Instructor: Ioanna Manolopoulou, Old Chem 217,
[email protected]
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Oﬃce hours MWF 1.302.30pm
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TA: Tommy Leininger, [email protected]
Silvia Montagna, [email protected]
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Course website www.stat.edu/ im30/Teaching/STA213
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HW: due once a week
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Midterm: 7th Oct
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Grades and materials through Blackboard (inc notes and
slides)
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Thursday 09/02: short diagnostic (ungraded) quiz
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.
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How do we gain information?
Design of experiments.
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How do we analyze information?
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How does uncertainty come into it?
Probability models.
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What do the data tell us?
Statistical Inference.
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How do we change our behaviour according to the results?
Decision theory.
Obtain
sample
to conclude something about the
population
.
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Basic probability theory, Random variables, Expectations,
Transformations
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Common univariate distribution families: Discrete and
Continuous. Examples in R.
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Common multivariate distribution families. Examples in R.
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Concepts of convergence
Chapters 612 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.
Lecture content
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Notation
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Set theory in probability
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Introduction to probability theory
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Examples
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This note was uploaded on 01/16/2011 for the course STAT 213 taught by Professor Ioannam during the Fall '09 term at Duke.
 Fall '09
 IoannaM

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