University of Alaska Fairbanks
Department of Mathematical Sciences

Statistics Undergraduate Courses

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
Next is the course title and the number of credits offered for the course. In parentheses are shown the number of weekly lecture and laboratory hours respectively. Following the parentheses may be a designator, with the following meaning:
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
Finally the semester for which the course is offered is shown. Unless otherwise indicated, these courses are offered each year.

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.