# 313:  Minor in Applied Statistics

## Course Descriptions

STAT 301 – INTRODUCTORY PROBABILITY AND APPLIED STATISTICS.  (3 semester hours)
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.

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.