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| STAT 43000 - Applied Statistics |
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Credit Hours: 3.00. This class focuses on how mathematical reasoning and statistical methods are used to analyze qualitative and quantitative data. Topics include estimation and hypothesis testing, linear and nonlinear models, generalized linear models, analysis of categorical data, elements of survival analysis and nonparametric statistical methods. Typically offered Fall Spring Summer.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: Northwest- Westville Northwest- Hammond Learning Outcomes: 1. Estimate the parameters and fit simple and multiple regression models. 2. Become familiar with several model checking and model selection criteria. 3. Fit a logistic regression model and Poisson regression model. 4. Perform one-way and two-way analysis of variance. 5. Analyze the categorical data. 6. Become familiar with the elements of survival analysis and nonparametric statistical methods. |
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