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this section will review two kinds of sampling techniques in detail: simple random sampling and systematic sampling. simple random sampling uses (a simple random sample) which refers to the random selection of an units from the list without changing its order. it consists of selecting a unit at random and then selecting each units adjacent as well. if the units are numbered, it will be as follows: 1, 5, 9, 13, 17, 21..etc.the main advantage is that it doesnt force you to go through each and every unit of the population. if the selection criteria are few enough, you can sample all of the units in less than the entire population. once you have the sample, you can adjust the sample size to reflect the size of the population.an example of this type of sampling is a game animal census. hunters start hunting at specific locations, and the forest ranger starts working along the trails to count how many different animals are present. for most animals, the population numbers are not very large. however, the next day, the hunters can head into other parts of the forest and still sample as many animals as they had the day before.systematic sampling is a modification of simple random sampling that has the following properties. it is: a systematic process, partitioned (divided) into parts, consecutive (continuous), non-exclusive, non-dichotomous, non-discrete, uniform, complete, and continuous. this implies that: in order to sample, you need to make divisions (parts) of the sampling area, you need to make them in a continuous way, you need to sample each part of the area consecutively, you need to sample each part not as a exclusive choice, you need to sample randomly and continuously rather than in a given order, you need to sample from the entire space rather than a discrete choice, you need to be more thorough, you need to sample the entire space rather than just a fraction, and you need to sample each part of the entire space rather than just a certain fraction. this is because systematic sampling uses the rule that you sample according to a proportion. if you sample 100 things and get 50, you are now sampling (or sampling from) the entire population in this proportion.
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