Current Crosslistings BIOL 5061

BIOL 5061

MATH 2080 OR STAT 2080 OR ECON 2280

Analyze data to compare means, identify sources of variance, and examine relationships between variables [STAT 2080] Present sampling or experimental data and statistical results using appropriate tables and graphs [STAT 2080] Recall the formulation and interpretation of simple statistical tests to compare sample or treatment means, or relationships between variables, including t-tests, 1-way and 2-way Analysis of Variance, Analysis of Covariance, and Linear Regression [STAT 2080] Recall the statistics that describe distributions of data [STAT 2080] Understand the basis of hypothesis testing and statistical inference [STAT 2080]

Analyze pilot data to estimate sample size/replication to ensure adequate precision for sample estimates, or power for statistical tests to compare means, in sampling/experimental designsConstruct linear additive models and ANOVA tables for simple and complex analysesDescribe a BACI design for environmental impact analysisDescribe standard experimental layouts and associated analytical modelsDescribe the elements of experimental designDescribe the elements of sampling design in field ecologyDesign sampling programs and experiments to test ecological hypothesesExplain expected mean squares and their use in identifying error terms in ANOVAExplain hypothesis testing and statistical interpretation of experimentsExplain pseudoreplication and ways of avoiding it in ecological field experimentsExplain the relationships between Type I and Type II error, variance, replication, and effect sizeIdentify common pitfalls in experimental design that lead to confounding effectsIdentify methods of testing assumptions and transforming data to meet assumptionsIdentify non-parametric analogues of parametrical modelsIdentify the appropriate use of t-tests for independent and non-independent dataState assumptions of parametric statistical models and explain the consequences of violating them