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Course Criteria
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3.00 - 12.00 Credits
No course description available.
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3.00 Credits
A calculus-based course emphasizing applications. Topics include probability, joint and conditional probability, expectation and variance, parameter estimation (method of moments and maximum likelihood), one and two sample hypothesis tests, simple linear regression and one-way analysis of variance. A student may not use STAT F200X and STAT F300 to meet the requirement of a year's sequence course in statistics. Prerequisites: MATH F230X or MATH F251X or placement. Offered Spring; Fall Odd-numbered Years
Prerequisite:
MATH F200X UF C- OR MATH F251X UF C- OR MATH F230X UF C- OR MATH F252X UF C- OR MATH F201X UF C- OR MATH F253X UF C- OR MATH F202X UF C-
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4.00 Credits
Thorough study of multiple regression including multiple and partial correlation, the extra sum of squares principle, indicator variables, polynomial models, model selection techniques and assessment of underlying assumptions. Analysis of variance and covariance for multifactor studies in completely random and randomized complete block designs, multiple comparisons and orthogonal contrasts. Matrix concepts for linear models are taught as needed. Prerequisites: STAT F200X or STAT F300. Offered As Demand Warrants
Prerequisite:
(STAT F200 UF C- OR STAT F200X UF C- ) OR STAT F300 UF C- OR STAT S273 US C-
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3.00 Credits
Sampling methods, including simple random, stratified and systematic and one- and two-stage cluster sampling; estimation procedures, including ratio and regression methods; special area and point sampling procedures; optimum allocation. Adaptive and probability sampling; bootstrapping and basic mark-and-recapture. Prerequisites: STAT F200X or STAT F300. Offered Fall
Prerequisite:
(STAT F200 UF C- OR STAT F200X UF C- ) OR STAT F300 UF C-
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1.00 Credits
Introduction to statistical consulting and data analysis. Emphasis on interaction with researchers and identification of scientific and statistical issues relevant to the research problem. Includes regular class meetings as well as supervised meetings with researchers. Designed to combine mathematical statistics with applications from a variety of fields. Students from any field of study with strong quantitative skills are encouraged to enroll. May be repeated for a total of three credits. Stacked with STAT F654. Prerequisites: STAT F200X or STAT F300; STAT F401; and MATH F408. Offered Spring
Prerequisite:
(STAT F200 UF C- OR STAT F200X UF C- OR STAT F300 UF C- ) AND STAT F401 UF C- AND MATH F408 UF C-
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3.00 Credits
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. Prerequisites: STAT F401. Offered Spring Even-numbered Years
Prerequisite:
STAT F401 UF C-
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1.00 Credits
Short, intensive, selected topics of applied statistics. Example topics: nonlinear regression, logistic regression, repeated measures, the SAS language and the S-Plus package. Course may be repeated for credit if topic varies. Prerequisites: STAT F200X or STAT F300; STAT F401. Offered As Demand Warrants
Prerequisite:
(STAT F200 UF C- OR STAT F200X UF C- ) OR STAT F300 UF C- AND STAT F401 UF C-
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1.00 - 6.00 Credits
No course description available.
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3.00 Credits
Introduction to the profession of social work and the human services delivery system. Examines historical development of social work focusing on the knowledge, values and skills that characterize the social worker. Orientation to the context for social work, including the diversity of human needs, human services, social policy and legislation. Services, programs, and career opportunities within rural and urban Alaska, as well as nationally, are discussed.
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3.00 - 12.00 Credits
No course description available.
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