Middlebury
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MATH0311

Statistics

Statistics
An introduction to the mathematical methods and applications of statistical inference. Topics will include: survey sampling, parametric and nonparametric problems, estimation, efficiency and the Neyman-Pearsons lemma. Classical tests within the normal theory such as F-test, t-test, and chi-square test will also be considered. Methods of linear least squares are used for the study of analysis of variance and regression. There will be some emphasis on applications to other disciplines. (MATH 0310) 3 hrs. lect./disc.
Subject:
Mathematics
Department:
Mathematics
Division:
Natural Sciences
Requirements Fulfilled:
DED
Equivalent Courses:

Sections

Fall 2013

MATH0311A-F13 Lecture (Emerson)

Spring 2012

MATH0311A-S12 Lecture (Emerson)

Spring 2010

MATH0311A-S10 Lecture (Emerson)

Spring 2008

MATH0311A-S08 Lecture (Emerson)

Spring 2007

MATH0311A-S07 Lecture

Spring 2006

MATH0311A-S06 Lecture (Emerson)

Spring 2004

MATH0311A-S04 Lecture (Emerson)