Department of Mathematical Sciences

*Key to listing:* Course code is given first. Course codes may
have a suffix, with the following meaning:

- O - applies toward requirements for oral communication intensive courses
- W - applies toward requirements for writing intensive courses
- X - required for baccalaureate core

- h - qualifies as a humanities elective
- m - qualifies as a mathematics elective
- n - qualifies as a natural science elective
- s - qualifies as a social science elective

**STAT 200 -Elementary Probability and
Statistics**
3 Credits (3 + 0)m *Fall, Spring, Summer*

Descriptive statistics, frequency distributions,
sampling distributions, elementary probability, estimation of
population parameters, hypothesis testing (one and two sample
problems), correlation, simple linear regression,
and one-way analysis of variance. Parametric and nonparametric
methods. Materials fee: $10.00. (Prerequisites:
MATH 107, 161, 181 or consent of instructor) Juneau
equivalent course is STAT 373. Example text: Practical
Statistics by Moore and McCabe.

**STAT 300 - Statistics**
3 Credits (3 + 0)m *Spring*

A calculus-based course emphasizing applications. Topics include probability,
point and interval estimation
including maximum likelihood, one and two sample hypothesis test including
likelihood ratio tests, simple linear
regression, and one-way analysis of variance. A student may not use STAT
200 and 300 to meet the requirement
of a year's sequence course in statistics. (Prerequisites: MATH 200, 262,
272 or equivalent). Example text:

**STAT 401 - Regression and Analysis of Variance**
4 Credits (3 + 3)m *Fall, Spring*

A thorough study of multiple regression including multiple and partial correlation,
the extra sums of squares
principle, indicator variables, and model selection techniques. Analysis of
variance and covariance for multifactor
studies in completely randomized and randomized complete block designs, multiple
comparisons, and orthogonal
contrasts. Materials fee: $10.00. (Prerequisites: STAT 200 [STAT 373-J] or STAT
300 or consent of instructor.)
Course is offered as 3 lecture hours and a 3 hour computer lab. Example text:
Applied Linear Statistical Models
by Neter, Wasserman, and Kutner.

**STAT 402 - Scientific Sampling**
3 Credits (3 + 0)m *Fall*

Sampling methods, including simple random, stratified and systematic; estimation
procedures, including ratio and
regression methods; special area and point sampling procedures; optimum allocation.
Materials fee: $10.00.
(Prerequisites: STAT 200 or 300 or consent of instructor.) Example text: Elementary
Survey Sampling by
Schaeffer, Mendenhall, and Ott supplemented by handouts.

**STAT 461 - Applied Multivariate Statistics**
3 Credits (3 + 0)m *Alternate Spring*

Estimation and hypothesis testing, multivariate normality and its assessment,
multivariate one and two sample
tests, confidence regions, multivariate analysis of variance, discrimination and
classification, principal components,
factor analysis, clustering techniques, and graphical presentation. Statistical
computing packages utilized in
assignments. (Prerequisite: STAT 401 or consent of instructor.) Example text:
Applied Multivariate Statistics
by Johnson and Wichern.