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Course Criteria
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4.00 Credits
Presents central ideas of descriptive statistics and statistical inference, as applied to questions in social sciences. Includes graphs, averages, sampling, estimation, hypothesis-testing and relationships between variables. Introduces associated computer skills. Credit cannot be earned in more than one of STAT 2010, 2050, 2070, 4220, 5000. Prerequisite: grade of C or better in MATH 1000, 1400 or equivalent.
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3.00 Credits
Provides majors in various departments of the College of Business with training in use of statistical analysis techniques as they apply to business problems. Credit cannot be earned in more than one of the following courses: STAT 2110, 3050 and 5050/5060/5070/5080. Prerequisite: STAT 2010.
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3.00 Credits
Provides undergraduate majors in the Colleges of Arts and Sciences, Agriculture and Education with training in statistical methodology for multiple variable situations. Integrates computer analysis packages such as MINITAB, SAS and SPSSX into statistical topics. Credit cannot be earned in more than one of the following courses: STAT 2110, 3050 and 5050, 5060, 5070, 5080. Prerequisite: STAT 2050, 2070 or equivalent.
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3.00 Credits
Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory. Prerequisite: choice of STAT 2110, 3050, 5050/5060/5070/5080 or consent of instructor.
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3.00 Credits
Contains standard topics, as well as some newer and more unconventional ones. Oriented towards analysts who use computer packages for problem solutions. Includes balance of application and theory. Dual listed with STAT 5015. Prerequisites: STAT 3050 or equivalent.
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3.00 Credits
Reviews design and analysis of one-factor experiments and introduces multi-factor experiments, Latin squares, nested designs and random effects. Includes topics such as polynomial response curves, trend analysis, split plots and incomplete blocks as time permits. Prerequisite: choice of STAT 2110, 3050, 5050, 5060, 5070, 5080 or consent of instructor.
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3.00 Credits
Reviews design and analysis of one-factor experiments and introduces multifactor experiments, Latin squares, nested designs, and random effects. Includes topics such as polynomial response curves, trena analysis, split plots and incomplete blocks as time permits. Dual listed with STAT 5025. Prerequisites: STAT 3050 or equivalent.
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3.00 Credits
Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and log-linear models. Prerequisites: STAT 2110, 3050, 5050, 5060, 5070, or 5080.
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3.00 Credits
Applied methods for analyzing associations when some or all variables are measured in discrete categories, not continuous scales. Topics include the binomial, multinomial, and Poisson probability models, parameter estimation and hypothesis-testing about proportions, measures of association and tests for contingency tables, logistic regression, and long-linear models. Dual listed with STAT 5045. Prerequisites: two courses in statistics.
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3.00 Credits
Applications of least-squares and iterative maximum-likelihood methods for drawing cause and effect conclusions from non-experimental data. Topics include regression-based path analysis, reciprocal causation, confirmatory factor analysis, measurement error, and structural equation models with unmeasured (latent) variables. Cross listed with SOC 4070. Prerequisites: one of STAT 3050, 4010, 5050, 5060, 5070, 5080 or equivalent (regression methods).
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