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Course Criteria
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1.00 - 3.00 Credits
Credits: 1-3 Faculty-directed independent study of approved topics in sport management. Hours of Lecture or Seminar per week 1-3 Hours of Lab or Studio per week 0
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3.00 Credits
Prerequisite: high school algebra. Elementary introduction to statistics. Topics include descriptive statistics, probability, and estimation and hypothesis testing for means and proportions. Statistical software used for assignments. f, s, sum
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3.00 Credits
Credits: 3 Introduction to probability and statistics with applications to computer science, engineering, operations research, and information technology. Basic concepts of probability, random variables and expectation, Poisson process, bivariate distributions, sums of independent random variables, correlation and least squares estimation, central limit theorem, sampling distributions, maximum likelihood and unbiased estimators, confidence interval construction, and hypothesis testing. Prerequisites MATH 114. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S, SUM
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3.00 Credits
Prerequisite: MATH 213. Introduction to probability with applications to electrical and computer engineering, operations research, information technology, and economics. Basic concepts of probability, conditional probability, random variables and moments, specifi c probability distributions, multivariate distributions, moment generating functions, limit theorems, and sampling distributions. f,s
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3.00 Credits
Credits: 3 Emphasis on applications. Topics include analysis of variance, multiple regression, and nonparametric inference. A statistical computer package is used for data analysis. Prerequisites STAT 250. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S
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3.00 Credits
Credits: 3 Continuation of STAT 344. Multivariate probability distributions, variable transformations, regression, analysis of variance, contingency tables, and nonparametric methods. Applications to quality control, acceptance sampling, and reliability. Prerequisites STAT 344. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered S
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3.00 Credits
Credits: 3 Use of computer packages in statistical analysis of data. Topics include data entry, checking, and manipulation, and use of computer statistical packages for regression and analysis of variance. Prerequisites STAT 250 or equivalent Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered f
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3.00 Credits
Credits: 3 Statistical methods for analysis of experimental data, including ANOVA and regression. Parametric and nonparametric inference methods appropriate for a variety of experimental designs are presented along with data analysis using SPSS. Intended primarily for researchers in the natural, social, and life sciences. Prerequisites STAT 250 or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
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3.00 Credits
Credits: 3 Principles of analysis of variance and experimental design. Topics include computation and interpretation of analysis of variance; multiple comparisons; orthogonal contrasts; and design of experiments, including factorial, hierarchical, and split plot designs. Optional topics may include analysis of covariance; partial hierarchical designs; incomplete block designs; principles of blocking and confounding in 2**n experiments; or estimation of variance components. Computer statistical packages are used to perform computations. Prerequisites STAT 350 or 354, and STAT 362 or 501. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered IR
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3.00 Credits
Credits: 3 Introduction to nonparametric methods with applications to the decision and information sciences and operations analysis. Topics covered are testing and estimation for one- and two-sample problems, independent and paired samples, location and dispersion problems, one- and two-way layouts, tests for independence, regression, and discussion of efficiency. Prerequisites STAT 350 or 354, or equivalent. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered IR
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