# The Statistics Major

"I tell my students that using statistics can help you design more efficient experiments so that you do not do more work, or collect more data, than is necessary. This leaves you more time for doing other experiments or having fun."
Dr. Wyngaard, Biology Professor

The Department of Mathematics and Statistics offers a major in statistics to meet the needs of both the public and the private sectors for graduates with degrees in statistics.

The required courses provide a balance of the application and theory of statistics. This balance allows students to prepare for immediate employment as practicing statisticians upon graduation or for graduate studies in statistics by proper selection of the program electives.

Students with an interest in applied statistics are encouraged to take as many elective courses as possible from a field of application (such as psychology, sociology, health sciences, biology, management, business administration, or economics) in which they are interested and in which they might like to be employed.

Students who have an interest in the mathematics of statistics or who plan to go to graduate school in statistics are strongly encouraged to double major in statistics and mathematics.

Minimum requirements for a B.S. degree with a major in statistics are 45 credit hours in statistics and  mathematics courses which must include nine credit hours of electives in statistics listed below. Students interested in this track should contact the major advisor,  Dr. Ling Xu (Roop 318, (540)568-4806).

### REQUIREMENTS

Required Statistics Courses (36-38 total credit hours):
MATH 220: Elementary Statistics. 3 CR.(1).
MATH 236-237: Calculus II-III. 8 CR.
Choose one of the following two courses:
MATH 248: Computers and Numerical Algorithms. 4 CR.
MATH 280: SAS Programming and Data Management. 3 CR.

Choose one of the following two courses:
MATH 238: Linear Algebra with Differential Equations. 4 CR.
MATH 300: Linear Algebra. 3 CR.
MATH 318: Introduction to Probability and Statistics. 4 CR.
MATH 321: Analysis of Variance and Experimental Design. 3 CR.
MATH 322: Applied Linear Regression. 3 CR.
MATH 327: Categorical Data Analysis. 3 CR.

MATH 421: Applied Multivariate Statistical Analysis. 3 CR.

MATH 426: Probability and Mathematical Statistics I. 3 CR.
Choose at least nine credit hours of Statistics Electives:
MATH 324: Applied Nonparametric Statistics. 3 CR.
MATH 325: Survey Sampling Methods. 3 CR.
MATH 326: Statistical Quality Control. 3 CR.

MATH 328: Time Series Analysis. 3 CR.
MATH 354/BIO 454: Introduction to Biometrics. 4 CR.
MATH 410: Advanced Calculus. 3 CR.

MATH 423: Stochastic Processes. 3 CR.

MATH 424: Statistical Decision Theory. 3 CR.
MATH 427: Probability and Mathematical Statistics II. 3 CR.
MATH 429: Research Project in Statistics. 1-3 CR.
45-47 Total Credit Hours.

1. Waived for those who have C- or better in MATH 318. No additional course will be required to substitute for MATH 220 if the requirement is met.

### TYPICAL PROGRAM

Year 1 (30 CR):
Skills for the 21st Century (Cluster One). 9 CR.
MATH 220: Elementary Statistics. 3 CR.
MATH 236: Calculus II. 4 CR.
MATH 280: SAS Programming and Data Management. 3 CR.1
General Education Courses. 11 CR.

Year 2 (30 CR):
MATH 237: Calculus III. 4 CR.
MATH 318: Introduction to Probability and Statistics. 4 CR.
MATH 321: Analysis of Variance and Experimental Design. 3 CR.
MATH 322: Applied Linear Regression. 3 CR.
General Education Courses/Electives. 16 CR.

Year 3 (30 CR):
MATH 300: Linear Algebra. 3 CR.2
MATH 327: Categorical Data Analysis. 3 CR.
General Education Courses/Electives. 24 CR.

Year 4 (30 CR):
MATH 421: Applied Multivariate Statistical Analysis. 3 CR.
MATH 426: Probability and Mathematical Statistics I. 3 CR.
Electives. 24 CR.

1. MATH 248: Computers and Numerical Algorithms may be substituted.
2. MATH 238: Linear Algebra with Differential Equations may be substituted.

### HANDOUTS

A summary handout (PDF) of the major.

## Statistics and Mathematics Courses of Interest to Statistics Majors and Minors(1)

CourseFall Spg Sum I Sum II
MATH 220: Elementary Statistics. 3 CR. X X X X
MATH 231: Calculus with Functions I.(2) X X X
MATH 232: Calculus with Functions II. 4 CR.(2) X X X? X?
MATH 235: Calculus I. 4 CR.(2) X X X
MATH 236: Calculus II. 4 CR. X X X
MATH 237: Calculus III. 4 CR. X X
MATH 238: Linear Algebra with Differential Equations. 4 CR.(3) X X X
MATH 248: Computers and Numerical Algorithms (3,2). 4 CR. X X
MATH 280: SAS Programming and Data Management. 3 CR. X
MATH 300: Linear Algebra. 3 CR.(3) On demand
MATH 318: Introduction to Probability and Statistics. 4 CR. X X X
MATH 321: Analysis of Variance and Experimental Design. 3 CR. X X
MATH 322: Applied Linear Regression. 3 CR. X X
MATH 324: Applied Nonparametric Statistics. 3 CR.   X
MATH 325: Survey Sampling Methods. 3 CR. X
MATH 327: Categorical Data Analysis. 3 CR. X
MATH 328: Time Series Analysis. 3 CR. X(4)
MATH 354/BIO 454: Introduction to Biometrics. 4 CR.   X
MATH 410: Advanced Calculus. 3 CR. X X
MATH 421: Applied Multivariate Statistical Analysis. 3 CR. X
MATH 423: Stochastic Processes. 3 CR.   X(5)
MATH 424: Statistical Decision Theory. 3 CR.   X(4)
MATH 426: Probability and Statistics I. 3 CR. X
MATH 427: Probability and Mathematical Statistics II. 3 CR.   X
MATH 429: Research Project in Statistics. 1-3 CR. On demand
1. Subject to sufficient demand.
2. MATH 231 and Math 232 may be substituted for MATH 235.
3. MATH 238 may be substituted for MATH 300.
4. Offered in even numbered years only.
5. Offered in odd numbered years only.