- Biology Department
- Pre-Health Advisory Committee
- GIS Center
- Medical Laboratory Science
- Museum of the Earth Sciences
- Mathematics and Statistics
- REALISE
- Chemistry Department
- Radford University Planetarium
- Department of Physics
- Anthropological Sciences
- Geology
- Selu Observatory
- Center for Information Security
- Forensic Science Institute
- Biomedical Science
- Geospatial Science
- School of Computing and Information Sciences
- MS in Data And Information Management
Undergraduate Stat Courses
STAT 130 - Understanding Statistics in Society (R, GE)
This class is designed for students who need to comprehend statistics that is used in the media, print, and to a lesser extent peer reviewed journal articles. The aim of this course is to explore the way statistics are used in society. Emphasis is placed on understanding descriptive and inferential statistics as they are presented in various media and print venues. Will not satisfy requirements for a major in mathematics. Students may not receive credit for STAT 130 after having successfully completed a statistics course numbered 200 or above. For more information, see STAT 130's detailed course description.
Prerequisites: Credit for any MATH course or a passing score on a placement test approved by the Department of Mathematics and Statistics (3 Credits)
STAT 200 - Introduction to Statistics (R, GE)
Introduction to statistical methods; descriptive statistics, basic probability, discrete and continuous probability distributions, estimation, hypothesis testing, correlation and regression.
Prerequisites: Credit for any MATH course or a passing score on a placement test approved by the Department of Mathematics and Statistics (3 Credits)
Note(s): Students who have previously received credit for STAT 219 or any 300 or 400 level STAT course, may not receive credit for STAT 200.
STAT 219 - Statistics for Biology (R, GE)
This course is an introduction to statistical methods taught by embedding statistical language and methods into a biological context. Topics will include univariate and bivariate graphs; measures of average, dispersion, and position; estimation; hypothesis testing; correlation; regression; analysis of variance.
Prerequisites: Credit for any MATH course or a passing score on a placement test approved by the Department of Mathematics and Statistics (3 Credits)
STAT 285 -- Topics in Statistics
Special topics in statistics that are accessible to non-mathematics majors, as student and faculty interest demands. Syllabus is available each time the class is offered. Interested students should contact the department chairperson or the course instructor before registering. May be taken more than once for credit with a different topic. For more information, see STAT 285's detailed course description.
Prerequisites: Permission of instructor
Offered: On demand (Variable credit)
STAT 301 -- Probability and Statistics I (R)
Introduction to descriptive statistics and probability theory. A survey of the most common probability distributions. One sample confidence intervals and hypothesis tests. For more information, see STAT 301's detailed course description.
Prerequisites: A grade of C or better in MATH 172
Offered: Every Fall and Spring (4 credits)
STAT 302 -- Probability and Statistics II (L)
Survey of one and two sample hypothesis tests, ANOVA, simple linear regression, and statistical computing. For more information, see STAT 302's detailed course description.
Prerequisites: A grade of C or better in STAT 301
Offered: Every Spring (3 credits)
STAT 330 -- Statistical Packages
Consideration of statistical packages available at Radford University. Topics include accessing the system, editing, describing data sets via summary statistics and graphical displays, testing hypotheses in the normal theory one and two sample cases, simple linear regression and correlation. SAS, SPSS, JMP and/or R are studied. For more information, see STAT 330's detailed course description.
Prerequisites: STAT 200 or 301
Offered: Every Spring (3 credits)
STAT 420 -- Modern Regression Analysis
Fundamental concepts in modern regression diagnostics. Choice of best subset model using cross validation methods. Study of collinearity and methods for combating collinearity. Use of residuals in regression diagnostics. Detection of high influence data points. Use of modern computer software. For more information, see STAT 420's detailed course description.
Prerequisites: STAT 302
Offered: Every Fall (3 credits)
STAT 421 -- Design of Experiments (L)
Theory of analysis of variance and covariance; fixed and random effects models; completely randomized design; randomized complete block design, Latin square design, factorial experiments, split-plot design and response surface design. For more information, see STAT 421's detailed course description.
Prerequisites: STAT 302
Offered: Every Spring (3 credits)
STAT 480 -- Topics in Advancd Statistics
Special topics in statistics, as student and faculty interest demands; syllabus is available each time the course is offered. Interested students should contact the department chairperson and the course instructor before registering. Note: May be repeated for credit with a different topic. For more information, see STAT 480's detailed course description.
Prerequisites: Permission of instructor
Offered: On demand (Variable credit)
STAT 488 -- Final Honors Project
Topics in statistics determined by the student, the faculty member with whom the student works and the department. In order to receive honors credit, a student must earn a grade of A or B for the final project. For more information, see STAT 488's detailed course description.
Prerequisites: Major in mathematics, enrollment in the Honors Academy, completion of all other Honors Academy requirements, a minimum 3.5 GPA in all courses and in mathematics and statistics, senior standing
Offered: On demand (2-3 credits)
STAT 498 -- Independent Study in Statistics
Topics to be decided by the instructor and the student. For more information, see STAT 498's detailed course description.
Offered: On demand (1-6 credits)
STAT 499 -- Internship in Statistics
Applications of theory learned in the classroom to real-world statistical problems in a professional setting. Provides a platform for building teamwork skills and solving interdisciplinary problems. For more information, see STAT 499's detailed course description.
Prerequisites: Junior or senior standing, at least a 2.5 GPA overall, at least a 2.5 GPA in mathematics and statistics and permission of instructor.
Offered: On demand (1-6 credits)