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Course Criteria
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3.00 Credits
This course is designed to provide in-depth exploration of current issues in the field of special education and in the various specific areas of exceptionality. Issues relating to the interface of general and special education will also be explored. Using skills acquired in SPED 6786, students will be expected to review, evaluate, and present information on the various topics considered.
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1.00 - 3.00 Credits
Prerequisite: Department approval. An integrative directive study of a current, specific issue, problem, or other approved topic. May be repeated for credit. ?
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3.00 Credits
Prerequisite: Satisfactory score on math placement test or completion of Area A math course with a grade of C or better. Survey of modern statistical methods applicable to behavioral, biological, health and managerial sciences, and education. Organization and analysis of data, probability distributions, sampling distributions, point estimation, confidence interval, hypothesis testing, and regression analysis.
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3.00 Credits
Prerequisite: STAT 1127 with a grade of C or better. The goal of this course is to provide students with an introduction to SPSS programming for data management, analysis, and reporting, and familiarize students with practical issues related to the exploration of actual data sets. This course introduces the most commonly used features of SPSS, especially in examining, transforming, and analyzing data (linear regression, ANOVA, and dummy variable regression).
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3.00 Credits
Prerequisites: STAT 3127 with a grade of C or better. Rank tests of comparing two treatments, comparing two treatments or attributes in a population model, blocked comparisons for two treatments, paired comparisons in a population model and the one-sample problem, the comparison of more than two treatments, randomized complete blocks, tests of randomness and independence.
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3.00 Credits
Prerequisites: STAT 3127 with a grade of C or better. Sampling distributions, two by two contingence tables, Simpson's paradox and 2?3 Tables, Goodman's full rank interaction analyzed for two way tables, further examples and extensions, conditional independence models for two-way tables, further topics.
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3.00 Credits
Prerequisite: STAT 3127 with a grade of C or better. Completely randomized designs, treatment comparisons, diagnosing agreement between the data and the model, experiments to study variances, factorial treatment design and applications. Appropriate statistical software will be used.
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3.00 Credits
Prerequisite: STAT 3127 with a grade of C or better. Simple and multiple regression, transformation of variables, diagnostic procedures, analysis of variance and residuals, comparison of two multiple regression models, calibration and regulation for linear regression, linear splines, subset analysis and variable selection, nonlinear regression. Appropriate statistical software will be used.
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3.00 Credits
Prerequisite: STAT 3127 with a grade of C or better. Logistic and Probit analyses in problems of assay. Count data analysis. Methods of survival analysis. Analysis of contingency tables, Analysis of variance for balanced data, unbalanced data, repeated measures data, binomial data.
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3.00 Credits
is an introductory course whose aim is to introduce the Swahili language to beginners. The major goals are to 1) enable students to develop communicative skills in Swahili through listening, speaking, reading, and writing; 2) give insights into aspects of the language, culture, traditions, and customs of the speakers of Swahili.
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