Statistics in Biology

Statistics in the biological sciences is very important. Without statistical analysis, the results that a student collects during a scientific investigation don`t mean much. Statistical tests therefore serve a number of functions, including measuring correlation, comparing means of variables and predicting change in variables. The types of statistical tests used include chi-squares, t-tests, ANOVA, regression tests and more. 

The booklet below is a more or less complete guide to the most essential aspects of data processing in the sciences. The first chapter deals mostly with errors and uncertainties in science. Uncertainties of measuring equipment must be recorded in raw and processed data tables of a laboratory report - this section will explain why and how to record these values. The following chapters will introduce some of the most frequently used methods of statistical analysis.