**Fall 2019**

MATH 155
MOD STATISTICS WITH COMPUT
(Fall 2019)

Descriptive and inferential analysis of raw data, emphasizing appropriate assumptions, computer use and interpretation. Consideration of parametric and nonparametric methods and comparison of their powers. Intended for students in the social and natural sciences. May not receive credit for more than one: MATH 150, 155, 213 or 216. Prerequisites: High school Algebra II and plane geometry. Three hours per week. Meets General education IVB or IVC.

MATH 214
STATISTICS LABORATORY
(Fall 2019)

Laboratory activities to reinforce topics covered in MATH 155 or equivalent. To further study and apply the concepts of descriptive and inferential statistics in a hands-on setting using technology. May not receive credit for both MATH 214 and 216. Prerequisite: C or better in MATH 155 or equivalent. Two hours per week.

MATH 380
INTERNSHIP
(Fall 2019)

Students work under supervisors in a local firm or public institution in conjunction with an advisor from the math department. Cross-listed with COSC 380. MATH/COSC 380 may be taken twice for a maximum of six credits, but used only once toward a major in mathematics or computer science. Prerequisite: Approval of department chair. Eight-to-ten hours per week. (P/F)

MATH 413
MATHEMATICAL STATISTICS I
(Fall 2019)

Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. May be offered for undergraduate or graduate credit. Prerequisites: C or better in MATH 213 or 216, and MATH 310. Four hours per week.

MATH 513
MATHEMATICAL STATISTICS I
(Fall 2019)

Axioms and algebra of probability, discrete and continuous random variables, multivariate distributions, limit theorems. Credit may not be received for more than one: MATH 413, 513. Prerequisites: C or better in MATH 213 or 216, and MATH 310, graduate standing required. Four hours per week.

**Spring 2020**

MATH 155
MOD STATISTICS WITH COMPUT
(Spring 2020)

Descriptive and inferential analysis of raw data, emphasizing appropriate assumptions, computer use and interpretation. Consideration of parametric and nonparametric methods and comparison of their powers. Intended for students in the social and natural sciences. May not receive credit for more than one: MATH 150, 155, 213 or 216. Prerequisites: High school Algebra II and plane geometry. Three hours per week. Meets General education IVB or IVC.

MATH 414
MATHEMATICAL STATISTICS II
(Spring 2020)

Methods of estimating, properties of estimator, hypothesis testing, linear models, least squares, analysis of variance, enumerative data, nonparametric statistics. Prerequisite: C or better in MATH 413. Four hours per week.

MATH 514
MATHEMATICAL STATISTICS II
(Spring 2020)

Methods of estimating, properties of estimator, hypothesis testing, linear models, least squares, analysis of variance,enumerative data, nonparametric statistics. Credit may not be received for more than one: MATH 414, MATH 514. Prerequisites: C or better in MATH 413 or 513, and graduate standing required. Four hours per week.