With the advent of faster and faster computers and telecommunications systems, the amount of information available through the internet, the traditional media, and other sources continues to grow exponentially. The ability to analyze and explain available information is becoming increasingly important to employers
“An understanding of statistical principles and how to apply them correctly is essential for success in today’s marketplace.”
- John H. Phillips, Engineering Senior, Environmental Quality Office, Ford Motor Company
Statistics is a collection of principles and techniques for collecting and effectively processing information. A minor in applied statistics equips you with skills that complement fields such as Business Administration, Computer Science, Economics, Engineering, Psychology, and the Biology, Physical and Social Sciences. These skills include the ability to:
The Applied Statistics minor provides you with the necessary skills to seek solutions to society’s most pressing problems. Examples include:
In fact, any discipline that employs the scientific method in the decision-making process can benefit from the application of statistical techniques.
Not only will you receive instruction in the theory and application of statistical methods, but also you will obtain hands-on experience in the analysis of real-life data. You will improve your oral and written communication through instruction by the Statistics faculty and interaction with researchers outside of the Department of Statistics.
The Minor in Applied Statistics is a non-calculus based program that focuses on applications of statistics. The minor requires 21 hours, as follows:
All minors must complete the following statistics core courses (6 credits):
STA 215 Introductory Applied Statistics
STA 216 Intermediate Applied Statistics
All minors must complete five additional courses (at least 15 credits). Three of these must be statistics courses. Offerings include:
STA 310 Introduction to Biostatistics
STA 311 Introduction to Survey Sampling
STA 313 Probability and Stochastic Processes
STA 314 Statistical Quality Methods STA 315 Design of Experiments
STA 317 Nonparametric Statistical Analysis
STA 318 Statistical Computing
STA 319 Statistics Project
STA 321 Applied Regression Analysis
STA 416 Multivariate Data Analysis
The other two courses may be chosen from the previous list or come from outside the statistics course listings. Examples of courses from outside the Statistics department that count towards the Applied Statistics minor include:
SS 300 Research Methods in the Social Sciences
PSY 300 Research Methods in Psychology
EGR 367 Manufacturing Processes
ECO 480 Econometrics and Forecasting
CS 262 Computer Science II
BMS 301 Introduction to Research in the Biomedical Sciences
STA 345 Statistics in Sports
STA 215 Introductory Applied Statistics - A technique-oriented approach to statistical problems with emphasis on applications.
STA 216 Intermediate Applied Statistics - Project-oriented introduction to major statistical techniques using a statistical package such as SAS or SPSS.
STA 310 Introduction to Biostatistics - An introduction to the statistical methods commonly encountered in medical, biological, and health science problems using a statistical package.
STA 311 Introduction to Survey Sampling - A project-oriented overview of topics related to survey sampling.
STA 312 Probability and Statistics - Introduction to the basic concepts of probability and statistics using calculus.
STA 313 Probability and Stochastic Processes - Introduction to probability and stochastic processes for engineering applications.
STA 314 Statistical Quality Methods - Statistical techniques applicable to problems of product quality.
STA 315 Design of Experiments - Application-oriented overview of designed experiments.
STA 317 Nonparametric Statistical Analysis - Applied statistical analysis when the distributions of the populations are unknown.
STA 318 Statistical Computing - A detailed study of the advanced features of major statistical packages used in statistical computing.
STA 319 Statistics Project - Students will learn a systematic approach to statistical consulting.
STA 321 Applied Regression Analysis - Multivariate regression analysis with emphasis on application using a statistical software package.
STA 412 Mathematical Statistics I - A theoretical study of selected statistical topics.
STA 415 Mathematical Statistics II (capstone) - Continued theoretical study of statistical topics.
STA 416 Multivariate Data Analysis - Multivariate analysis with emphasis on application using a statistical package.
Learn more in the Course List for Applied Statistics Minor in the Course Catalog