Construct linear additive models and ANOVA tables for simple and complex analyses [BIOL 4061] Explain expected mean squares and their use in identifying error terms in ANOVA [BIOL 4061] Explain hypothesis testing and statistical interpretation of experiments [BIOL 4061] Explain the relationships between Type I and Type II error, variance, replication, and effect size [BIOL 4061] Identify methods of testing assumptions and transforming data to meet assumptions [BIOL 4061] Identify non-parametric analogues of parametrical models [BIOL 4061] Identify the appropriate use of t-tests for independent and non-independent data [BIOL 4061] State assumptions of parametric statistical models and explain the consequences of violating them [BIOL 4061]

STAT 2080