Statistics Major Courses of Interest to Minors Course Descriptions
The minor in statistics is open to any student not majoring in mathematics or statistics. A minor in statistics requires a minimum of 18 credit hours. Students seeking the minor in statistics must complete one of the following options.
Students completing Option 1 must obtain prior approval of the courses to be counted in the minor from the statistics minor advisor, Dr. Nusrat Jahan (Roop 319, (540)568-4074) .
MATH 322: Applied Linear Regression. 3 CR.
Choose one of the following (3-4 credit hours).
MATH 220: Elementary Statistics. 3 CR.
MATH 318: Introduction to Probability and Statistics. 4 CR.
Introductory Statistics course equivalent to 220 or 318.
Choose four of the following (12 credit hours).
MATH 280: SAS Programming and Data Management. 3 CR.
MATH 321: Analysis of Variance and Experimental Design. 3 CR.
MATH 324: Applied Nonparametric Statistics. 3 CR.
MATH 325: Survey Sampling Methods. 3 CR.
MATH 326: Statistical Quality Control. 3 CR.
MATH 327: Categorical Data Analysis. 3 CR.
MATH 328: Time Series Analysis. 3 CR.
MATH 354/BIO 454: Biometry. 4 CR.
MATH 421: Applied Multivariate Statistical Analysis. 3 CR.
MATH 423: Stochastic Processes. 3 CR.
MATH 424: Statistical Decision Theory. 3 CR.
MATH 426: Probability and Statistics I. 3 CR.
MATH 427: Probability and Statistics II. 3 CR.
MATH 485: Selected Topics. 1-4 CR.
18-19 Total Credit Hours
Students completing Option 2 must obtain prior approval of the courses to be counted in the minor from the statistics minor advisor, Dr. Samantha Prins (Roop 322, (540)568-5102).
MATH 236 and MATH 237: Calculus II & III. 8 CR.
MATH 318: Introduction to Probability and Statistics. 4 CR.
MATH 322: Applied Linear Regression. 3 CR.
Choose two of the following (6 credit hours).
MATH 321: Analysis of Variance and Experimental Design. 3 CR.
MATH 326: Statistical Quality Control. 3 CR.
MATH 423: Stochastic Processes. 3 CR.
MATH 426: Probability and Statistics I. 3 CR.
21 Total Credit Hours
Summary handouts of option 1 and option 2 in PDF form.
| Course | Fall | 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. | 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 280: SAS Programming and Data Management. 3 CR. | X | |||
| MATH 300: Linear Algebra. 3-4 CR.(3) | ||||
| 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/BIOL 454/554: Biometry. 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 Statistics II. 3 CR. | X | |||
| MATH 429: Research Project in Statistics. 1-3 CR. | X | X | X? |