Course Descriptions
Prerequisite: MATH 136 or MATH 142, with a grade of C or better.
A calculus-based introduction to
applied statistics, with
emphasis on
analysis of real data. Curve fitting, probability models,
estimation and testing for means and proportions, quality control; use
of computers for data analysis and simulation.
STAT 330 – INTRODUCTION TO STATISTICAL SOFTWARE. (3 semester hours)
Prerequisite: 3 hours of undergraduate statistics with a grade of C or better, or consent of instructor.
Using proprietary and open-source
statistical software for data
analysis. Interactive techniques for data management,
manipulation and transformation. Interactive techniques for data error
checking, descriptive statistics, basic inferential statistics, and
basic report generation such as tabular and graphical displays.
Introduction to scripts and batch processing when applicable.
Proper use and interpretation of the methods are emphasized.
STAT 401 – REGRESSION ANALYSIS. (3 semester hours)
Prerequisite: A grade of C or better in STAT 301 or permission of instructor. Prerequisite or corequisite: STAT 330.
Regression topics including simple
and multiple linear
regression,
least squares estimates, inference, transformations, diagnostic
checking, and model selection methods. Selected special
regression topics will also be introduced. Statistical software
packages will be used for analyses.
STAT 402 – EXPERIMENTAL DESIGN. (3 semester hours)
Prerequisite: STAT 301 with a grade of C or better or permission of instructor. Prerequisite or corequisite: STAT 330.
Experimental design and analysis
topics including single- and
multiple-factor designs, factorial and fractional factorial designs,
fixed vs. random effects models, response surface, nested designs, and
special topics. Statistical software packages will be used for
analyses.
MATH 136 – CALCULUS I. (4 semester hours) GEN ED D-II | QR
Prerequisites: Four years of high
school mathematics, including
Algebra
II, geometry, and trigonometry, and satisfactory score on Math
Placement Exam and Math Placement Trig Exam; or MATH 117 or MATH 118,
with grade of C or better.
A course in one-variable calculus
including topics from
analytic
geometry. Limits, derivatives, integration, and applications of
polynomial, rational, trigonometric, and transcendental
functions. Includes lecture and recitation.
MATH 142 – CALCULUS WITH APPLICATIONS FOR LIFE SCIENCES. (5 semester hours) GEN ED D-II | QR
Prerequisites: Four years of
high school mathematics,
including
Algebra I and II, geometry, and a course that includes trigonometry,
and satisfactory Math ACT and math placement scores; or MATH 117 or
MATH 118, with a grade of C or better.
Exponential and logarithmic functions, derivatives, integration, first order differential equations, and systems of linear equations, with major emphasis on applications in life sciences.
Exponential and logarithmic functions, derivatives, integration, first order differential equations, and systems of linear equations, with major emphasis on applications in life sciences.
MATH 382 – PROBABILITY AND STATISTICS I. (3 semester hours)
Prerequisite: MATH 310 with a grade of C or better. Prerequisite or corequisite: MATH 237.
Axioms and laws of probability;
discrete and continuous
probability
distributions; multivariate distributions; random variables;
expectation; moment generating functions; Central Limit Theorem.
MATH 470 – INTRODUCTION TO OPERATIONS RESEARCH. (3 semester hours)
Prerequisites: MATH 237 and 307 with grades of C or better, or permission of instructor.
Principles and techniques of
operations research including
linear
programming, integer programming, quality theory, sensitivity analysis,
and dynamic programming.
MATH 482 – PROBABILITY AND STATISTICS II. (3 semester hours)
Prerequisites: MATH 237 and MATH 382 with grades of C or better.
Multivariate probability
distributions; sampling distributions,
statistical inference; point and interval estimation, properties of
estimators; hypothesis testing; regression and correlation; analysis of
variance;
non-parametric methods.
Dr.
David K. Neal, Lead Academic
Advisor
Department of Mathematics
4136 COHH
Western Kentucky University
Bowling Green, KY 42101
270.745.6213
Department of Mathematics
4136 COHH
Western Kentucky University
Bowling Green, KY 42101
270.745.6213
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