An introduction to a variety of statistical procedures which are frequently used in the biological sciences. Populations and samples, types of data, distributions, measures of central tendency and dispersion, graphing techniques, data screening, data transformation, diversity indices, one-way ANOVA, two-way ANOVA, post-hoc testing, dependent, independent and one-sample t-tests, simple linear regression and correlation, non-parametric procedures (Mann-Whitney U test, Kruskal Wallis, Spearman Rank Correlation, Chi-square and contingency tables), over-view of multivariate ecological techniques. Experimental design, interpretation of analyses and report writing. Data analysis using the... -- Course Website
Prerequisites: 10926 (v.5)<br/> Mathematics 103<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> OR<br/><br/> <br/> 305639 (v.1)<br/> Mathematics 135<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> OR<br/><br/> <br/> 7062 (v.6)<br/> Mathemat
