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Population, Sample and Sampling Technique - Coggle Diagram
Population, Sample and Sampling Technique
Population is a unit of individuals or subjects in a region and time with certain qualities to be observed/researched.
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The sample is part of the number and characteristics possessed by the population. The sample is a small group that is actually researched and concluded
There are 4 (four) things that must be considered in determining the size of the sample in the study,
Degree of uniformity (degree of homogeneity). The more uniform the population, the smaller the sample that can be taken.
The desired precision of the research. The higher the desired precision, the larger the number of samples that must be taken
Analysis plan. Sometimes the sample size is sufficient in accordance with the desired precision, but if it is associated with analysis needs, the sample size is insufficient.
Energy, cost and time. If you want high precision, the number of samples must be large. But if funds, manpower and time are limited, it is not possible to take a large sample, and this means that precision will decrease.
sampling technique is a way to determine the number of samples following the sample size that will be used as the actual data source, taking into account the characteristics and distribution of the population in order to obtain a representative sample.
To determine the sample to be used in the study, there are various sampling techniques used
Probability Sampling
Probability sampling is a sampling technique that provides equal opportunities for each element (member) of the population to be selected as a member of the sample (Sugiyono, 2013).
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Nonprobability Sampling
According to Sugiyono (2013) nonprobability sampling is a technique that does not provide equal opportunities/opportunities for each element or member of the population to be selected as a sample.
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