Course Description
EEOS601 is designed to help students understand the basis in
probability for statistical inference. This course will prepare
students to understand the foundations for the complex regression and
ANOVA models in advanced applied statistics courses, like EEOS611
offered in the spring. Through analysis of probability problems, I hope
to convey the probabilistic foundation of all statistical inference.
I’ll also introduce students to MATLAB®, a software package that can be
used for a diverse array of research problems.
Course Objectives
The course is designed to:
 Introduce the probability theory which is the foundation of
statistical inference and apply these probability distributions and
statistical inferences to problems in the environmental sciences
 Cover basic inferential statistics including
*Goodness of fit tests and tests of r x c
contingency tables
*Leastsquares regression
*One sample and twosample tests &
their nonparametric analogues
Student’s
t tests
Wilcoxon
tests
Sign
test
*Oneway parametric ANOVA and
nonparametric analogues !
 Teach basic data analysis with Matlab. " Introduce Matlabbased
Monte Carlo simulation methods for analyzing problems in probability
and statistics " These tools will allow students to write their own
programs to analyze linear models and multivariate statistics.
Prerequisites
Permission of instructor.
Required Textbook
Larsen, R. J. and M. L.
Marx. 2006. An introduction to mathematical statistics and its
thapplications, 4 edition. Prentice Hall, Upper Saddle River, NJ. 928
p. {ISBN13: 9780131867932}
MATLAB™. The current student version is called release 2007a and
includes the statistics toolbox.
Other Reading
 Nahin, P. J. 2002. Duelling idiots and other probability puzzlers.
Princeton University Press, Princeton N.J. {ISBN: 0691102864}
 Larsen, R. J. and M. L. Marx. 2006b. Student Solutions manual to an
introduction to mathematical statistics and its applications. Prentice
Hall, Upper Saddle River, NJ. {ISBN13: 9780131867963}
Grading
Component 
Percentage 

100% 
Homework 
50% 
Online Discussion 
15% 
Midterm Exam 
15% 
Final Exam 
20% 
View Complete Syllabus
Citation: Syllabus. (2011, April 19). Retrieved November 06, 2014, from UMass Boston OpenCourseware Web site: http://ocw.umb.edu/environmentalearthandoceansciences/eeos601introductiontoappliedstatisticssummer2011/syllabus.
Copyright 2014,
by the Contributing Authors.
This work is licensed under a
Creative Commons AttributionNoncommercialShare Alike 3.0 Unported License.