|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 100B or equivalent. Topics include exponential smoothing, simple and multiple regression analysis, time series, trend analysis, and seasonal analysis.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 040 or equivalent. Introduction to computerassisted data analysis and statistical inference using both the MINITAB and SAS packages. Topics include input, output, and editing of data; graphical procedures; descriptive statistics; cross-tabulation; inferential statistical techniques including estimation and testing; regression; and analysis of variance.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): MATH 009C or MATH 09HC (MATH 009C or MATH 09HC may be taken concurrently). Covers sample spaces and probability; random variables and probability distributions; elements of statistical inference; and testing and estimation. Also addresses selected topics in multivariate distributions and introduces stochastic processes.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 100A, STAT 100B, or equivalents; STAT 147; or consent of instructor. A study of major statistical packages, including SAS and BMPD with the emphasis on advanced SAS programming. Topics include advanced graphical procedures, linear models (regression and analysis of variance), multivariate techniques, and SAS macros.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): MATH 009C or MATH 09HC (may be taken concurrently). Topics include statistical regularity, probability spaces, fundamental theorems in discrete probability, Bayes' theorem, random variables, densities and distribution functions, continuous distributions, transformations of random variables, and central limit theorem. Credit is awarded for only one of MATH 149A or STAT 160A.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 160A. Topics include distributions of sample statistics, statistical inference, and estimation. Credit is awarded for only one of MATH 149B or STAT 160B.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 160B. Topics include hypothesis testing, chi-square tests, and nonparametric methods. Credit is awarded for only one of MATH 149C or STAT 160C.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 160A and STAT 160B, or equivalent. Compound distributions. Branching processes. Random walk. Continuous time models; Poisson process, queuing models. The Markov property. Introduction to Markov chains. Simple time series models.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 147, STAT 155, STAT 157, or equivalents. Topics include simple and multiple linear regression; scatter-plots; point and interval estimation; prediction; testing; calibration; interpretation and practical applications of multiple regression; simple, partial, and multiple correlation; variable selection methods; diagnostic procedures; and regression for longitudinal data.
-
4.00 Credits
Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): STAT 170A. Topics include principles of design; completely randomized designs and one-way analysis of variance; complete block designs and two-way analysis of variance; multiple comparisons; complete factorial experiments; fixed, random, and mixed models; split-plot designs; nested designs; analysis of covariance; sample size determination and power analysis.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|