Statistics Minor
Are you a student who:
- wants to combine math with business, biology, psychology, sociology or political science?
- is interested in publishing and presenting your student research?
- plans to complete a summer internship your sophomore or junior year?
- thinks that service learning is a valuable experience?
- hopes to have a resume with a strength in data analysis?
If so, a statistics minor is perfect for you!
According to the American Statistical Association, employers of business, psychology, biology, sociology and political science majors have expressed a preference for applicants with a strong background in data analysis. Because of this, an educational background that includes knowledge of statistics can help you to get a better job after college!
The minor in statistics is designed to encourage students to apply concepts that go beyond the content of an introductory course in statistical methods. The program is not designed to train professional statisticians, but to equip students with quantitative skills that they can apply to their disciplines. Topics are adapted to areas of study such as biology, business, and behavioral and social science.
Emphasis is placed on experimental design, exploratory data analysis, statistical modeling, and communicating ideas using real data. Students use statistical software to spark the synthesis of theory, methods, and applications.
The program is sufficiently flexible to accommodate a wide variety of our students' professional goals.
The Statistics Minor program goals are to:
- Provide a comprehensive statistics curriculum to students in mathematics, biology, business, and behavioral and social science.
- Create a venue for further study for the student who is excited about statistics after the introductory course.
- Encourage creativity in research through experimental design and data collection.
- Develop the decision making, communication, and presentation skills necessary to provide relevant analyses of a statistical study
- Utilize the different kinds of thinking involved in the practice of statistics: logical/deductive, computational/algorithmic, graphical/dynamic, and verbal/interpretive
