Statistics A.B.
A Bachelor of Arts degree with a major in Statistics requires the completion of the Elon Core Curriculum as well as the Major Requirements listed below.
Major Requirements
Statistics foundations: 12 sh
| STS2120 | Statistics in Application | 4 sh |
| STS2300 | Introduction to Data Analytics | 4 sh |
| STS2320 | Statistical Modeling | 4 sh |
Study design and analysis: 4 sh
Select one study design and analysis course from the following:
| STS2130 | Survey Sampling Methods | 4 sh |
| STS3250 | Design and Analysis of Experiments | 4 sh |
Statistical computing: 4 sh
Select one statistical computing course from the following
| STS3270 | Statistical Computing for Data Management | 4 sh |
| STS3300 | Statistical Methods for Data Analytics | 4 sh |
Statistics electives: 4 sh
Select at least one course from the following:
| STS2130 | Survey Sampling Methods | 4 sh |
| STS2560 | Applied Nonparametric Statistics | 4 sh |
| STS3250 | Design and Analysis of Experiments | 4 sh |
| STS3270 | Statistical Computing for Data Management | 4 sh |
| STS3300 | Statistical Methods for Data Analytics | 4 sh |
| STS3410/MTH3410 | Probability Theory and Statistics | 4 sh |
| STS3470 | Statistical Computing for Simulation and Theory | 4 sh |
The same course cannot count for a study design and analysis or statistical computing requirement and as an elective.
Mathematical foundations: 4 sh
Select one course from the following:
| MTH1160 | Applied Calculus | 4 sh |
| MTH1510 | Calculus I | 4 sh |
| Total Credit Hours: | 0-4 |
Capstone
A related experiential/capstone experience approved by the department (2-4 sh). Approved options included:
| STS4980 | Statistics Practicum | 4 sh |
| STS4985 | Internship in Statistics | 2-4 sh |
| STS4999 | Independent Research in Statistics | 2-4 sh |
Total Credit Hours: 30-32
Concentrations
Select twelve semester hours from one of the following concentrations: 12 sh
Statistical Methods in Natural Science
Students may select at most four semester hours at the 1000 level. If a 3 sh course has an accompanying 1 sh lab, this lab course must be taken with the course.
| BIO1112 | Introductory Cell Biology | 3 sh |
| BIO1113 | Cell Biology Laboratory | 1 sh |
| BIO2212 | Principles of Genetics | 3 sh |
| BIO2213 | Genetics Laboratory | 1 sh |
| BIO2512 | Introductory Population Biology | 3 sh |
| BIO2513 | Population Biology Laboratory | 1 sh |
| BIO3532 | The Biology of Animal Behavior | 4 sh |
| BIO3622 | General Ecology | 4 sh |
| ENS1110 | Introduction to Environmental Science | 3 sh |
| ENS1130 | Introduction to Environmental Science Lab | 1 sh |
| ENS2000 | Sophomore Seminar: Environmental Inquiry | 4 sh |
| ENS2150/BIO2150 | Diversity of Life | 4 sh |
| ENS2500/GEO2500 | Introduction to Geographic Information Systems | 4 sh |
| ESS1110 | Introduction to Exercise Science | 4 sh |
| ESS2140 | Research Methods | 4 sh |
Statistical Methods in Social Science
Students may select at most one of the following courses counting toward the concentration: ANT 1120, ECO 1000, PHS 2010, POL 1110, PSY 1000, SOC 1110.
| ANT1120 | Introduction to Cultural Anthropology | 4 sh |
| ECO1000 | Principles of Economics | 4 sh |
| ECO3300 | Introduction to Econometrics | 4 sh |
| ECO4410 | Experimental Economics | 4 sh |
| PHS2010 | Introduction to Public Health | 4 sh |
| PHS2020 | Research Methods in Public Health | 4 sh |
| PHS3010 | Introduction to Epidemiology | 4 sh |
| PHS3020 | Global Health | 4 sh |
| POL1110 | American Politics | 4 sh |
| POL2200 | Research Methods in Political Science and Policy Studies | 4 sh |
| POL3210 | Public Opinion Polling | 4 sh |
| PSY1000 | Introduction to Psychology | 4 sh |
| PSY2970 | Experimental Research Methods and Statistics | 4 sh |
| PSY3970 | Nonexperimental Research Methods and Statistics | 4 sh |
| PSY3840 | Health Psychology | 4 sh |
| SOC1110 | Introductory Sociology | 4 sh |
| SOC2150/ANT2150 | Qualitative Research Methods | 4 sh |
| SOC2160/ANT2160 | Quantitative Research Methods | 4 sh |
All graduating statistics majors are required to satisfactorily complete a senior comprehensive evaluation. This evaluation is not an exam, but it will require students to reflect upon related experiential accomplishments undertaken while completing the major. It is recommended that majors save work from their statistics courses to complete these reflections.
Program Outcomes
Student Learning Goals and Outcomes
Statistics promotes quantitative critical thinking skills that should serve the student in the rest of their course of studies at Elon and in their professional and educational careers after graduation. The statistics major at Elon will continue to draw strengths from other areas of the core. Specific outcomes that should prove valuable include the student’s ability to:
1. Explain the theoretical basis of commonly used statistical methods.
2. Design sample surveys and/or experiments for standard situations.
3. (a) Correctly analyze data from standard designed experiments, sample surveys, or observational studies.
(b) Correctly interpret the results from standard designed experiments, sample surveys, or observational studies.
4. Demonstrate sufficient statistical computing ability to manage data and implement standard statistical methods using at least one standard statistical package.
5. Illustrate the importance of statistics and the role it plays in making informed decisions in at least one discipline beyond Statistics.
6. Explain statistical ideas, methods, and results in writing, visually, and orally to non-statistical audiences.
These skills reflect the statistical expertise that students need to be effective statisticians and also include important skills that relate to the ability to function in the different types of jobs our students may seek.
Total Credit Hours: 42-44