Forest Resources Biometrics

FOR 350. FOREST RESOURCES BIOMETRICS (3) FOR 350 syllabus (Please note that syllabi are subject to change and this may not be the most current syllabus.)

This course is concerned with statistical approaches for characterization, comparison and speculation regarding natural resources in forested landscapes. Course objectives include 1) enable statistical summarization and interpretation of a population with regard to a variable of interest using moment and order parameters; 2) enable statistical estimation of central tendency, dispersion, skewness and kurtosis via random sampling (with and without replacement), stratified sampling and systematic sampling; 3) enable determination of probabilities according to selected distributions; 4) engender recognition of purpose and ability to conduct interval estimation; 5) enable determination of required sample size; 6) engender recognition of strategic applicability of multi-stage and multi-phase sampling; 7) enable inference regarding independence or association between categorical variables using contingency table methods; 8) enable computation and interpretation of covariance and correlation; 9) enable recognition of strategic context for cluster analysis and ability to conduct using selected software; 10) enable inference regarding significance of effects using one-way analysis of variance, and recognition of context for restriction of randomization in design; 11) enable computation and interpretation of simple linear regression for indirect estimation and investigation of factor associations; 12) enable computation and preliminary analytical interpretation of multiple regression for indirect estimation and investigation of factor associations; 13) introduce the open-source R software system for statistical computation; and 14) engender recognition of the role of statistical analysis in critical thinking. Evaluation methods include exams, practicum, homework and class participation. This course is offered every spring..