The Minor in Statistics
Course Requirements for the Minor: 23 units
The following courses, or their approved transfer equivalents, are required of all candidates for this minor.
6 courses required:
| SUBJ NUM |
Title |
Sustainable |
Units |
Semester Offered |
Course Flags |
|
MATH 120
|
Analytic Geometry and Calculus
|
|
4.0
|
FS
|
GE
|
Prerequisites: GE Mathematics/Quantitative Reasoning Ready; both MATH 118 and MATH 119 (or college equivalent); first-year freshmen who successfully completed trigonometry and precalculus in high school can meet this prerequisite by achieving a score that meets department guidelines on a department administered calculus readiness exam.
Limits and continuity. The derivative and applications to related rates, maxma and minima, and curve sketching. Transcendental functions. An introduction to the definite integral and area. 4 hours discussion. This is an approved General Education course.
|
|
MATH 121
|
Analytic Geometry and Calculus
|
|
4.0
|
FS
|
|
Prerequisite: MATH 120.
The definite integral and applications to area, volume, work, differential equations, etc. Sequences and series, vectors and analytic geometry in 2 and 3-space, polar coordinates, and parametric equations. 4 hours discussion.
|
|
MATH 235
|
Elementary Linear Algebra
|
|
3.0
|
FS
|
|
Prerequisites: MATH 121.
Matrices, determinants, cartesian n-space (basis and dimension of a subspace, rank, change of basis), linear transformations, eigenvalues. Numerical problems will be emphasized. 3 hours discussion.
|
|
MATH 315
|
Applied Statistical Methods I
|
|
3.0
|
FS
|
|
Prerequisite: MATH 105, MATH 109, or MATH 120, or faculty permission.
Single and two sample inference, analysis of variance, multiple regression, analysis of co-variance, experimental design, repeated measures, nonparametric procedures, and categorical data analysis. Examples are drawn from biology and related disciplines. The statistical programming language R is used. Appropriate for biology, agriculture, nutrition, psychology, social science and other majors. 3 hours discussion.
|
|
MATH 350
|
Introduction to Probability and Statistics
|
|
3.0
|
FA
|
|
Prerequisites: MATH 121.
Basic concepts of probability theory, random variables and their distributions, limit theorems, sampling theory, topics in statistical inference, regression, and correlation. 3 hours discussion.
|
|
MATH 351
|
Introduction to Probability and Statistics
|
|
3.0
|
SP
|
|
Prerequisites: MATH 350.
Continuation of MATH 350. 3 hours discussion.
|
1 course selected from:
| SUBJ NUM |
Title |
Sustainable |
Units |
Semester Offered |
Course Flags |
|
MATH 456
|
Applied Statistical Methods II
|
|
3.0
|
S2
|
|
Prerequisites: MATH 314 or MATH 315.
Advanced topics in applied statistics including multiple and logistic regression, multivariate methods, multi-level modeling, repeated measures, and others as appropriate. The statistical programming language R is used. Appropriate for biology, agriculture, nutrition, business, psychology, social science and other majors. 3 hours discussion.
|
|
MATH 458
|
Sampling Methods
|
|
3.0
|
S1
|
|
Prerequisite: MATH 314, MATH 315, or MATH 351 (may be taken concurrently).
The theory and application of survey sampling techniques. Topics include simple random sampling, stratified sampling, systematic sampling, and cluster sampling. Appropriate for mathematics, computer science, psychology, social science, agriculture, biology, and other majors. 3 hours discussion.
|
To Apply for a Minor
To apply for a minor, you must file a Declaration of Minor form, available in the Department Office, HOLT 181. Before choosing any options for the minor, you must obtain approval from the department chair.
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