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.
Below is one offering of this course for the Winter 2021 term.
Tue Jan 05 - Thu Apr 15 15 Weeks
|Jan 05 - Apr 13||Tue||11:30 - 13:30||
See Notes below
|Jan 07 - Apr 15||Thu||12:30 - 14:30||
See Notes below
TBD – see Learning Outcomes in the interim
A portion of seats are temporarily held for domestic students. International students: this may impact your ability to register. Learn why.}
This section is only available for registration starting Wed, Oct 28 at 9:00 am (PDT)
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:
Interested in being notified about future offerings of MATH 7100 - Biostatistics for Natural Resource Managers? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.