The goals of this course are to provide the student with the skills needed to solve and understand problems relating to data analysis that will be encountered in the renewable resource and environmental areas. Considerable emphasis will be placed on the application to analysis of real-life problems, technical and journal articles, the presentation and analysis of data using statistical and spreadsheet software. Class assignments will be given that require critical thinking, communication and explanation of results through verbal presentation and report writing. This course includes the following course content: (1) Hypothesis testing and goodness-of-fit testing using t, z, F, and chi-squared statistics (2) Bivariate data analysis using linear models, including log transformation, parameter estimation, and hypothesis testing (3) Analysis of variance (4) Non-parametric statistical analysis (5) Collection of data and development of databases (6) Appropriate use of graphical displays (7) Experimental design, including completely random designs and randomized complete block designs.
Upon successful completion of this course, the student will be able to:
Effective as of Winter 2017
MATH 7100 is offered as a part of the following programs:
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