CRN 10785 Advanced Statistical Analyses for Natural Resource Sciences - NRES 776 - A1 |
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This course provides graduate students in natural resource sciences with advanced, practical training in the analysis of quantitative data. The course focuses primarily on advanced univariate statistics that can be applied to both experimental and observational data. This focus includes a full exploration of generalized linear models (E.g., linear, logistic, and mixed models) as well as methods for experimental data including analysis of variance and associated techniques. Also, students receive instruction in the principles of experimental design, data management, and the review and reporting of statistical results. Students receive instruction in the use of statistical software used for manipulating and analysing data that are applicable to the natural resource sciences.
Prerequisites: Undergraduate course in univariate statistical analysis or permission of the Instructor Levels:  Graduate Campus:   Prince George Schedule Type:  Lecture Instructional Method: On campus, face to face Credits:   3.000
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CRN 10786 Advanced Statistical Analyses for Natural Resource Sciences - NRES 776 - L1 |
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This course provides graduate students in natural resource sciences with advanced, practical training in the analysis of quantitative data. The course focuses primarily on advanced univariate statistics that can be applied to both experimental and observational data. This focus includes a full exploration of generalized linear models (E.g., linear, logistic, and mixed models) as well as methods for experimental data including analysis of variance and associated techniques. Also, students receive instruction in the principles of experimental design, data management, and the review and reporting of statistical results. Students receive instruction in the use of statistical software used for manipulating and analysing data that are applicable to the natural resource sciences.
Prerequisites: Undergraduate course in univariate statistical analysis or permission of the Instructor Levels:  Graduate Campus:   Prince George Schedule Type:  Laboratory Instructional Method: On campus, face to face Credits:   0.000 |
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