OBJECTIVE FORESTRY

Detailed explanation-1: -Rather than risking a random sample in which one group (race, gender, age, geographic location, etc.) is either overrepresented or underrepresented, the researcher might deliberately select a proportioned number of individuals from each of the conceivable subgroups.

Detailed explanation-2: -Purposive sampling, also known as judgmental, selective, or subjective sampling, is a form of non-probability sampling in which researchers rely on their own judgment when choosing members of the population to participate in their surveys.

Detailed explanation-3: -Stratified random sampling allows researchers to obtain a sample population that best represents the entire population being studied. Sampling involves statistical inference made using a subset of a population. Stratified random sampling is done by dividing the entire population into homogeneous groups called strata.

Detailed explanation-4: -Simple random sampling In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected.