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SSCE 4122: Methods of Teaching Social Science in the Middle School
3.00 Credits
University of Minnesota-Morris
Objectives, curricula, special methods, materials, and evaluation appropriate for teaching social science in the middle school.
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SSCE 4122 - Methods of Teaching Social Science in the Middle School
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STAT 1601: Introduction to Statistics
3.00 Credits
University of Minnesota-Morris
Scope, nature, tools, language, and interpretation of elementary statistics. Descriptive statistics; graphical and numerical representation of information; measures of location, dispersion, position, and dependence; exploratory data analysis. Elementary probability theory, discrete and continuous probability models. Inferential statistics, point and interval estimation, tests of statistical hypotheses. Inferences involving one and two populations, ANOVA, regression analysis, and chi-squared tests; use of statistical computer packages.
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STAT 1993: Directed Study
5.00 - 10.00 Credits
University of Minnesota-Morris
An on- or off-campus learning experience individually arranged between a student and a faculty member for academic credit in areas not covered in the regular curriculum.
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STAT 1993 - Directed Study
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STAT 2501: Probability and Stochastic Processes
3.00 Credits
University of Minnesota-Morris
Same as Math 2501. Probability theory; set theory, axiomatic foundations, conditional probability and independence, Bayes' rule, random variables. Transformations and expectations; expected values, moments, and moment generating functions. Common families of distributions; discrete and continuous distributions. Multiple random variables; joint and marginal distributions, conditional distributions and independence, covariance and correlation, multivariate distributions. Properties of random sample and central limit theorem. Markov chains, Poisson processes, birth and death processes, and queuing theory.
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STAT 2501 - Probability and Stochastic Processes
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STAT 2601: Statistical Methods
3.00 Credits
University of Minnesota-Morris
Descriptive statistics, elementary probability theory; laws of probability, random variables, discrete and continuous probability models, functions of random variables, mathematical expectation. Statistical inference; point estimation, interval estimation, tests of hypotheses. Other statistical methods; linear regression and correlation, ANOVA, nonparametric statistics, statistical quality control, use of statistical computer packages.
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STAT 2601 - Statistical Methods
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STAT 2611: Mathematical Statistics
3.00 Credits
University of Minnesota-Morris
Introduction to probability theory. Principles of data reduction; sufficiency principle. Point estimation; methods of finding and evaluating estimators. Hypothesis testing; methods of finding and evaluating tests. Interval estimation; methods of finding and evaluating interval estimators. Linear regression and ANOVA.
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STAT 2611 - Mathematical Statistics
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STAT 2993: Directed Study
5.00 - 10.00 Credits
University of Minnesota-Morris
An on- or off-campus learning experience individually arranged between a student and a faculty member for academic credit in areas not covered in the regular curriculum.
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STAT 2993 - Directed Study
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STAT 3601: Data Analysis
3.00 Credits
University of Minnesota-Morris
Nature and objectives of statistical data analysis, exploratory and confirmatory data analysis techniques. Some types of statistical procedures; formulation of models, examination of the adequacy of the models. Some special models; simple regression, correlation analysis, multiple regression analysis, analysis of variance, use of statistical computer packages.
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STAT 3601 - Data Analysis
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STAT 3611: Multivariate Statistical Analysis
3.00 Credits
University of Minnesota-Morris
Analysis of categorical data. Loglinear models for twoand higher-dimensional contingency tables. Logistic regression models. Aspects of multivariate analysis, random vectors, sample geometry and random sampling, multivariate normal distribution, inferences about the mean vector, MANOVA. Analysis of covariance structures: principal components, factor analysis. Classification and grouping techniques: discrimination and classification, clustering, use of statistical computer packages.
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STAT 3611 - Multivariate Statistical Analysis
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STAT 3993: Directed Study
5.00 - 10.00 Credits
University of Minnesota-Morris
An on- or off-campus learning experience individually arranged between a student and a faculty member for academic credit in areas not covered in the regular curriculum.
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STAT 3993 - Directed Study
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