Department of Statistics
Ken Gerow, Department Head
327 Ross Hall
Phone: (307) 766-4229, FAX: (307) 766-3927
Website: http://www.uwyo.edu/statistics
Professors
RICHARD ANDERSON-SPRECHER, B.A. Carleton College 1974; M.A. University of Minnesota 1976; Ph.D. University of Iowa 1990; Professor of Statistics 2006, 1990.
STEPHEN L. BIEBER, B.S. University of California-Davis 1971; M.A. University of California-Berkeley 1977; Ph.D. 1979; Professor of Statistics 1990, 1979.
KENNETH G. GEROW, B.S. University of Guelph, Canada 1981; M.Sc. 1984; Ph.D. Cornell University 1992; Professor of Statistics 2007, 1993.
TIMOTHY J. ROBINSON, B.S. James Madison University 1989; M.S. Virginia Polytechnic Institute and State University 1994; Ph.D. 1997; Professor of Statistics 2012.
Associate Professors
SNEHALATA V. HUZURBAZAR, B.A. Grinnell College 1984; M.A. Vanderbilt University 1988; Ph.D. Colorado State University 1992; Associate Professor of Statistics 2001, 1995.
ANNALISA PICCORELLI, B.A. Miami University of Ohio 2003; M.S. Case Western Reserve University 2007; Ph.D. 2010. Associate Professor of Statistics 2015.
SHAUN S. WULFF, B.S. Montana State University 1991; M.S. 1994; Ph.D. Oregon State University 1999; Associate Professor of Statistics 2005, 1999.
Academic Professional Lecturer
Scott Crawford, B.S. Southern Utah University 2004; M.S. Brigham Young University 2006; Ph.D. Texas A&M University 2012; Academic Professional Lecturer 2012.
Adjunct Professors
Barber, J., Legg, Manly, L. McDonald, T. McDonald, Manly, Nuchka, Sain
Emeriti Faculty
Robert S. Cochran, Burke Grandjean
Statistics
The curriculum in statistics includes a firm foundation in mathematics and computer science, in addition to course work in statistical theory and methodology. Statistics majors are also required to obtain a minor in an area of application. The nature of statistical work is to design and analyze research projects through the application of the principles of mathematics, computer science, and statistics. The student who wishes to make valid inferences from empirical data will find the field of statistics fascinating and rewarding.
The study of statistics as a separate professional field is comparatively recent. The wide demand for graduates with special training in research and development techniques has fostered development of statistical curricula in colleges and universities. A pioneer in this field, the University of Wyoming is one of the few schools in the nation where a coordinated undergraduate training program in statistics is available.
We expect that students graduating with a statistics degree will be able to: 1) recognize the importance of variation and uncertainty in the world, 2) understand how statistics improves decisions when faced with uncertainty, 3) become proficient with a broad range of statistical tools, 4) develop critical thinking skills that enable application of statistics in new and unusual settings, and 5) communicate effectively. With these skills, graduates will be able to work effectively as statistical professionals and, if desired, successfully pursue further training at the master's and doctorate levels.
Graduates with statistical training are employed in a broad spectrum of areas which include the business world, the sciences (social, biological, physical and health), as well as engineering and education. For this reason, an area of application is required of each student.
The statistics department also offers graduate programs leading to a minor in statistics, and to a Master of Science (Plan A, Plan B), and Doctor of Philosophy in statistics.
Undergraduate Major
In addition to university and college requirements, requirements for statistics majors include:
- Statistics - at least 30 hours 2010/2050/2070/4220 (3-4 hours); 2110/3050/5050/5060/5070/5080 (3 hours); 4255, 4265, 4025, 4015 (12 hours); Optional from 4045, 4070, 4115, 4155, 4300, 4350, 4360, 4370, 4460, 4880, 5320 (9 hours); Senior thesis 4870 (3 hours)
- Mathematics 2200, 2205, 2210, 2250 (15 hours)
- Computer science 1010 and 1030 (6 hours)
- Electives-chosen so that at least 42 hours are at the 3000/4000/5000 level
Typical Freshman Year for Statistics Majors
Courses |
Hours |
ECON 1010 Principles of Macroeconomics |
2 |
ENGL 1010 College Composition and Rhetoric |
3 |
MATH 2200 Calculus I |
3 |
POLS 1000 American & Wyoming Government |
4 |
Biological, physical, or Earth science |
4 |
Physical Activity and Health requirement |
1 |
Total Hours |
18 |
Courses |
Hours |
ECON 1020 Principles of Microeconomics |
3 |
University Studies |
3 |
MATH 2205 Calculus II |
4 |
STAT 2010 / STAT 2050 / STAT 2070 / STAT 4220 |
3-4 |
Biological, physical, or Earth science |
4 |
Total Hours | 17-18 |
Note: For several entry level courses such as STAT 2010, 2050, 2070,and 4220, a student cannot receive credit for more than one of these courses. The same is true for the second courses 2110, 3050 and 5050, 5060, 5070, 5080.
Statistics Minor
The following courses are required for a statistics minor:
Courses |
Hours |
MATH 1400 College Algebra |
3 |
STAT 2010 / STAT 2050 / STAT 2070 / STAT 4220 |
3-4 |
STAT 3050 College Algebra |
3 |
And 9 additional hours from the following:
Courses |
Hours |
STAT 4015 Regression Analysis |
3 |
STAT 4025 Design / Analysis Exp I |
3 |
STAT 4045 Categorical Data |
3 |
STAT 4070 Casual Models |
3 |
STAT 4115 Time Series Analysis |
3 |
STAT 4155 Fundamentals of Sampling |
3 |
STAT 4255 Math Theory - Probability |
3 |
STAT 4265 Intro to the Theory of Statistics |
3 |
SAT 4350 Survey Construct |
3 |
STAT 4360 Spatial Statistics |
3 |
STAT 4370 Survival Analysis |
3 |
STAT 4300 App Multivariate Analysis |
3 |
STAT 5320 Design / Analysis Exp II |
3 |
Total Hours |
18-19 |
Graduate Study
The Department of Statistics offers graduate programs leading to a minor in statistics, to a master of science in statistics (Plan B Option 2), to a master of science in applied statistics (Plan B Option 1), and to a doctor of philosophy in statistics. Students wishing to pursue a master of science in statistics with a thesis option (Plan B), should contact the department directly. The minor is designed to enhance the M.S. or Ph.D. program of any student enrolled in one of the graduate programs at the University of Wyoming. All of these programs emphasize the understanding and application of a broad variety of statistical methods on real projects. Students will be provided with numerous opportunities to perform analyses and communicate findings. The M.S. and Ph.D. programs in statistics are grounded in statistical theory.
Program Specific Admission Requirements
The prerequisite for admission to graduate study is an undergraduate degree from an accredited institution, including work in mathematics through calculus III, Linear Algebra and at least one second-level class in statistical methods. Prospective students are encouraged to have had Math Analysis and upper level introduction to probability and mathematical statistics. Test scores from the GRE and TOEFL exams are required. The minimum score for the TOEFL is 600 (100 Internet-based Test) or for IELTS minimum score is 6.0. Students who do not have prerequisites in mathematics and statistics may make up this deficiency at the beginning of their graduate program; however, such work does not count toward graduation requirements.
Program Specific Degree Requirements
Minor
Twelve hours at the 4000 or 5000 level with the exception of STAT 4220, 5000, and 5185.
Master's Program
Plan B (Option 1)
Master of Science in Applied Statistics
Profile
The Master's Program in Applied Statistics will give the student an extensive and broad background in statistical methods, data analysis, and written and oral presentation skills. This degree is a terminal experience in graduate statistical education and should not be viewed as preparatory for entrance into a Ph.D. program in statistics. Graduates will have the necessary background to work as data management specialists, statistical analysts, and as project managers within a wide range of research organizations.
Coursework
In addition to the general requirements of the university all candidates for the MS (Plan B - Option 1) degree must successfully take and complete:
Required: 22 credit hours
- STAT 5015 Regression Analysis
- STAT 5025 Design and Analysis of Experiments
- STAT 5155 Fundamentals of Sampling
- STAT 5255 Mathematical Theory of Probability
- STAT 5265 Introduction to the Theory of Statistics
- STAT 5380 Bayesian Data Analysis
- STAT 5470 Data Analysis
- Electives: a minimum of 15 credit hours in other acceptable graduate courses. Acceptable courses include statistics courses numbered 5000 or higher, excepting 5000, 5050, 5060, 5070, 5080, and 5185.
- Total: 37 credit hours
Graduation Requirements: (1) successful completion of coursework and (2) a data analysis project (Plan B paper)
Plan B (Option 2)
Master of Science in Statistics
Profile
The Master's Program in Statistics will give the student a solid background in statistical theory and in statistical methods, and in technical reading and writing skills. Graduates will have the necessary background to further pursue the Ph.D. degree, to work in industrial or research organizations, or to teach in community college level institutions or as academic professionals in four-year-college and universities.
Coursework
In addition to the general requirements of the university all candidates for the MS (Plan B - Option 2) degree must successfully take and complete:
Required: 18 credit hours
- STAT 5210 Statistical Methods 1
- STAT 5220 Statistical Methods 2
- STAT 5380 Bayesian Data Analysis
- STAT 5510 Distribution Theory
- STAT 5520 Inference I
- One course from the following: 3-4 credit hours
- STAT 5025 Design and Analysis of Experiments
- STAT 5230 Statistical Methods 3
- Electives: a minimum of 15 credit hours in other acceptable graduate courses. Acceptable courses include statistics courses numbered 5000 or higher, excepting 5000, 5050, 5060, 5070, 5080, and 5185.
- Total: 36-37 Credit Hours
Graduation Requirements: successful completion of coursework and a passing grade on a two-day qualifying examination (Plan B paper)
Doctoral Program
Program for a Doctor of Philosophy in Statistics
Profile
The Ph.D. Program in Statistics will give the student a solid background in statistical theory and in statistical methods, in technical reading and writing skills, and in conducting independent research. Most graduates from our doctoral program have been employed as tenure-track faculty at other universities. They also have the necessary background to work as lead researchers in industrial and research organizations.
Coursework
In addition to the general requirements of the Graduate School all candidates for the Ph.D. degree must successfully take and complete:
Prerequisites for the Required Courses
- STAT 5255 Mathematical Theory of Probability
- STAT 5265 Introduction to the Theory of Statistics
- MATH 4200 Analysis 2: Advanced Analysis (or Analysis for Statisticians Topics Course)
- STAT 5025 Design and Analysis of Experiments
- STAT 5015 Regression Analysis
Required: 45 credit hours
- STAT 5210 Statistical Methods 1
- STAT 5220 Statistical Methods 2
- STAT 5230 Statistical Methods 3
- STAT 5380 Bayesian Data Analysis
- STAT 5470 Data Analysis
- STAT 5510 Distribution Theory
- STAT 5520 Inference I
- STAT 5530 Inference II
- STAT 5540 Large Sample Theory
- STAT 5620 Theory of Linear Models
- STAT 5660 Computational Statistics
- STAT 5810 Seminar (3 hours; 3 presentations)
Methodological Topics - at least 2 of the following which are required when offered
- STAT 5615 Advanced Time Series
- STAT 5630 Multivariate Analysis
- STAT 5650 Advanced Sampling
- STAT 5670 Mixed Models
The remaining hours of doctoral work are typically filled in part by other graduate level statistics/mathematics courses/Dissertation Research. Students who enter the program lacking a course in Mathematical Analysis or the equivalent should take MATH 4200 in their first year. MATH 4200 may be counted as part of the doctoral degree program.
Graduation Requirements
- At the end of the first year in the doctoral program each student must take a comprehensive qualifying examination. If needed a student may retake this examination. A passing grade on this examination is mandatory for continuance in the doctoral program.
- After completing this examination a student with the assistance of her/his advisor will be expected to form a doctoral committee. This committee will determine which courses are to be included in the Graduate Level Statistics electives, and will set the conditions of and conduct the preliminary examination. A passing grade on this examination is mandatory for official admittance into the doctoral program by the graduate school.
- The student must write and successfully defend a dissertation research project. The specific conditions of the dissertation project are to be determined by each student's doctoral committee, but should consist of original research suitable for publication.