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Course Criteria
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3.00 Credits
Comprehensive review of time-honored and current management models used in sport, recreation, fitness and related services. Legal and ethical issues, organizational structure and application of management techniques to real-world situations will be focal points.
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3.00 Credits
Basic probability distributions, fundamentals of statistical inference, hypothesis testing, one-way classification, analysis of variance, covariance, use of variance components and their estimation, comparative experiments, multiple comparisons and regression. Prereq: MATH 210.
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3.00 Credits
Measuring the relationship among variables using standard regression techniques. Topics include simple, multiple and polynomial regression, model fitting, verification of model assumptions and examination of residuals. Prereq: MATH 251, 310; either STAT 325 or ENGR 311 or departmental approval. Credit for both MATH 360 and MATH 365 or STAT 365 (565) will not be allowed.
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3.00 Credits
Mathematical development of sampling. Consideration of simple probability sampling including simple random, stratified random, cluster and multistage sampling. Deriving estimates and variances of estimates for different sampling designs. Prereq: STAT 325 or ENGR 311 or departmental approval.
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3.00 Credits
Alternatives to normal-theory statistical methods; analysis of categorical and ordinal data, methods based on rank transforms, measures of association, goodness-of-fit tests, order statistics. Prereq: MATH 251 and either STAT 325 or ENGR 311 or departmental approval.
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3.00 Credits
Analysis of categorical data. Contingency tables, exact tests, loglinear models, analyses involving ordinal variables, binary response models and multinomial response models. Prereq: MATH 251 and either STAT 325 or ENGR 311 or departmental approval.
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3.00 Credits
The design and analysis of experiments. Topics include one and two factor analysis of variance, randomized designs, repeated measures and factorial experiments. Prereq: MATH 251; either STAT 325 or ENGR 311 or departmental approval. Credit for both MATH 455 and STAT 455 will not be allowed.
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3.00 Credits
Discrete and continuous probability spaces, statistical independence, distributions, discrete and continuous random variables, expectations, moment-generating functions, limiting distributions, estimation of parameters, confidence intervals, hypothesis testing with applications, linear regression and correlation, multiple linear regression. Prereq: MATH 252; either MATH 314 or CSCI 301; either STAT 325 or ENGR 311 or departmental approval. Credit for both MATH 461 and STAT 461 will not be allowed.
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3.00 Credits
Discrete and continuous probability spaces, statistical independence, distributions, discrete and continuous random variables, expectations, moment-generating functions, limiting distributions, estimation of parameters, confidence intervals, hypothesis testing with applications, linear regression and correlation, multiple linear regression. Prereq: MATH 320 and STAT 461. Credit for both MATH 462 and STAT 462 will not be allowed.
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3.00 Credits
Applications of major statistical software packages. Emphasizes the use of computers to perform statistical procedures and the interpretation of statistical output. Prereq: Either STAT 325 or ENGR 311 or departmental approval. Credit for both MATH 465 and STAT 465 will not be allowed.
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