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Course Criteria
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0.00 Credits
Credit Hours: 0.00. Cooperative Work Experience. Typically offered Fall Spring Summer. 0.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Experiential College of Science College Statistics Department Course Attributes: Coop, Full-Time Privileges, Upper Division
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1.00 - 5.00 Credits
Credit Hours: 1.00 to 5.00. Supervised reading course or special topics cousre at the senior level for undergraduates are given under this number. Permission of instructor required. Typically offered Fall Spring Summer. 0.000 TO 5.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Individual Study, Lecture, Practice Study Observation College of Science College Statistics Department Course Attributes: Upper Division, Variable Title
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3.00 Credits
Credit Hours: 3.00. Concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Normal distributions. Sampling distributions. Confidence intervals and tests of hypotheses for one and two samples. Inference for contingency tables, regression and correlation, and one-way analysis of variance. Use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Credit cannot be given for more than one of STAT 301, 305, 350, 433, 501, 503, or 511. Prerequisite: College Algebra. Typically offered Summer Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. Regression with several explanatory variables. Regression diagnostics. Analysis of variance for factorial designs. Multiple comparisons. Analysis of covariance. Repeated measures designs. Extensive use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. Typically offered Summer Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture, Practice Study Observation College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. Introductory statistical methods, with emphasis on applications in biology. Topics include descriptive statistics, binomial and normal distributions, confidence interval estimation, hypothesis testing, analysis of variance, introduction to nonparametric testing, linear regression and correlation, goodness-of-fit tests, and contingency tables. Open only to majors related to the life sciences. Credit cannot be given for more than one of STAT 301, 305, 350, 433, 501, 503, or 511. Prerequisite: Two semesters of college calculus. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: S Biology Math Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. Use of existing computer programs and subroutines to solve statistical problems. Areas of application include analysis of variance, linear and nonlinear regression analysis, nonparametric statistics, simulation, study of the effects of assumptions, data analysis. Extensive use of programs from the Computer Center Library. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Regional Campus Only College
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3.00 Credits
Credit Hours: 3.00. Use of the SAS software system for managing statistical data. The SAS environment. Data description. Data access and management. SAS macro language and application development. Prerequisite: STAT 51200 and coursework in computer programming. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal,binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression. Credit cannot be given for more than one of STAT 301, 305, 350, 433, 501, 503, or 511. Prerequisite: Two semesters of college calculus. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, S Biology Math Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of variance, multiple comparisons, fixed and random factors, analysis of covariance. Use of existing statistical computer programs. Prerequisite: Coursework in Statistical Methods with a calculus prerequisite. Typically offered Fall Spring Summer. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, IE Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. A strong background in control charts including adaptations, acceptance sampling for attributes and variables data, standard acceptance plans, sequential analysis, statistics of combinations, moments and probability distributions, applications. Offered in alternate years. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, IE Technical Electives, Upper Division
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