BIO303: Experimental design and hypothesis testing

[Cr:4, Lc:4, Tt:0, Lb:0]

Review of basic results from probability; random variables and expectations; binomial, Poisson and normal distributions
Populations and samples; estimators and parameters; properties of estimators – efficiency, unbiasedness and efficiency; maximum likelihood and least squares approaches to estimation.
The sampling distribution of an estimator, using the mean as an example; standard errors and confidence intervals; testing hypotheses about one and two means (t-test); type 1 and type 2 errors.
Comparing two means using a paired t-test; concept of accounting for sources of variation; comparing two means using the within-sample and among-sample mean variation.
Comparison-wise and family type 1 error rates; single-factor ANOVA
Two-factor ANOVA; main effects, interactions and their interpretation; experimental design – random and fixed factors; blocks; nested factors; multiple comparisons; multiple factor ANOVA
Introduction to non-parametric approaches to hypothesis testing.
Linear regression and correlation.