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Course Criteria
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3.00 Credits
Non-calculus treatment of descriptive statistics, statistical inference, goodness of fit, use of t, X2 in one sample situation. Su, Au, Wi Qtrs. 3 cl, lab hrs arr.
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3.00 Credits
Two sample tests, non-parametric one and two sample procedures, regression analysis, one and two way analysis of variance. Wi, Sp Qtrs. 3 cl, lab hrs arr.
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4.00 Credits
Multiple regression models; diagnostics, inferences, and variable selection; ANOVA with several factors, mixed models, nesting. Sp Qtr. 3 cl.
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3.00 Credits
Inputting data, date manipulation and calculations, data presentation and reports, graphical displays, data and character data, formatting, macro programming, basic statistical procedures. Sp Qtr. 3 cl.
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2.00 Credits
Role of statistical consultant; enhancement of problem solving and communication skills; development of a personal philosophy of consulting. Au, Sp Qtrs.
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2.00 Credits
Experience is given the student in working with real data through association with projects in the Statistics Consulting Service. Su, Wi Qtrs. 1 1.5-hr cl.
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5.00 Credits
Introduction to probability, random variables, and distribution theory intended primarily for students in MAS degree program. Au, Wi Qtrs. 3 cl.
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4.00 Credits
Introduction to probability, conditional probability, independence, random variables, distribution functions, transformations, moment generating function, common probability distributions; marginal and conditional distributions, sampling distributions; convergence concepts. Au Qtr. 4 cl.
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4.00 Credits
Sufficiency, maximum likelihood estimation, minimum variance, unbiased estimation, Bayes estimation, decision theory. Wi Qtr. 4 cl.
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4.00 Credits
Likelihood ratio tests, Neyman Pearson theorem and uniformly most powerful tests, confidence intervals, applications to linear models. Sp Qtr. 4 cl.
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