|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
1.00 - 6.00 Credits
Course Level: Undergraduate Topics vary by section, may be repeated for credit with different topic.
-
3.00 Credits
Course Level: Undergraduate/Graduate Probability, probability distributions, sampling, sampling distributions, and introduction to the theory of point estimation and statistical inference, including confidence intervals and hypothesis testing. Usually offered alternate springs. Prerequisite: MATH-212 or equivalent and MATH-501, or permission of instructor.
-
3.00 Credits
Course Level: Undergraduate/Graduate Mathematical development of basic principles of survey design, including methods for determining expected value, bias, variance, and mean square error; simple random, systematic, stratified, cluster, multistage, and double sampling; unbiased, ratio, regression, and composite estimation; optimum allocation of resources; controlled and other nonsimple methods of selection; introduction to measurement error; and comparison of alternative designs. Usually offered alternate falls. Prerequisite: STAT-502 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Mathematical development of basic principles of survey design, including methods for determining expected value, bias, variance, and mean square error; simple random, systematic, stratified, cluster, multistage, and double sampling; unbiased, ratio, regression, and composite estimation; optimum allocation of resources; controlled and other nonsimple methods of selection; introduction to measurement error; and comparison of alternative designs. Usually offered alternate springs. Prerequisite: STAT-502 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Averages, dispersion, probability, sampling, and approach to normality; simple and multiple regression; tests and confidence intervals for means, proportions, differences, and regression coefficients; nonparametric statistics; and analysis of variance. Usually offered every term. Prerequisite: STAT-202 or equivalent. Note: does not carry credit for majors in mathematics or statistics; students may not receive credit for STAT-514 and either STAT-300 or STAT-302.
-
3.00 Credits
Course Level: Undergraduate/Graduate Simple and multiple regression, least squares, curve fitting, graphic techniques, and tests and confidence intervals for regression coefficients. Usually offered every fall and summer. Prerequisite: STAT-302 or STAT-514 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Design and analysis of the results of balanced experiments, simple analysis of variance, components of variance, analysis of covariance, and related subjects. Usually offered every spring. Prerequisite: STAT-302 or STAT-514 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Topics vary by section, may be repeated for credit with different topic. Alternating topics in statistics from an applied viewpoint. Topics include sampling, multivariate techniques, factor analysis, and time series. Usually offered alternate summers (odd years). Prerequisite: STAT-302 or STAT-514 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Application of nonparametric techniques in the analysis of social-science data, with emphasis on tests appropriate for data having interval, nominal, and ordinal scales. Usually offered alternate falls (even years). Prerequisite: STAT-302 or STAT-514 or equivalent.
-
3.00 Credits
Course Level: Undergraduate/Graduate Introduction to multivariate analysis emphasizing statistical applications. Includes matrix theory, multivariate distributions, tests of hypotheses, multivariate analysis of variance, principal components, discriminant analysis, canonical correlation, multivariate regression, and related subjects. Usually offered alternate falls (odd years). Prerequisite: STAT-302 or STAT-514 or equivalent.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|