Sampling Theory

Abstract

As mentioned in Sect. 9.4 , there are various techniques which can be adopted to select a sample from a population. In the example used in Chap. 9 , the sample (Table 9.2) was selected at random from the population (Table 9.1) in such a way that each and every tree in the population was equally likely to have been included in the sample. Speaking in mathematical statistical terms, this is a simple random sample (often abbreviated as SRS), that is, a sample in which each and every sampling unit in the population has the same probability of selection (or in common parlance, the same chance of being selected). In the example, there were 107 trees in the population and 15 trees were to be sampled. Thus, the probability of selection of any of the 107 trees was 15/107, that is, 0.140, or a 14% chance.

The online version of the Erratum chapter can be found at 10.1007/978-3-540-95966-3_14