This manual covers some of the basic concepts involved in the theory and practice of statistics in forestry research. Any serious researcher has to have an understanding of these concepts in successfully applying the scientific method in his/her investigations. However, many real life situations are much more complex than can be handled through the basic techniques and models referred in the manual. For instance, the use of multivariate analysis may be required in several contexts where observations on multiple characters are made on the experimental units. Many times distributional assumptions are violated calling for the use of nonparametric statistics. Many optimization problems may require the use of operations research techniques or a decision theoretic approach. Long time frame involved in many research investigations in forestry would demand simulation studies rather than experimental approach. Many ecological processes are too complex to be handled through the simple models referred in this manual. In spite of these limitations, this manual has its own purpose to serve, i.e., equip the researchers with an understanding of the most basic statistical principles involved in research and enable them to effectively communicate and collaborate with an expert in tackling more complex problems.
