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In the process of developing a sampling design for this study, there are some critical factors you should consider. Explain five of these factors.
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Define sampling design?
Sampling is a method of selecting experimental units from a population so that we can make decision about the population. Sampling design is a design, or a working plan, that specifies the population frame,sample size, sample selection, and estimation method in detail. Objective of the sampling design is to know the characteristic of the population.
The variation in the population as measured by the standard deviation has little or no effect in determining the size of a sample selected from the population True or False?
The answer is False
Do you prefer to calculate the gcf of two numbers by listing factors or by determining the prime factorzation explain your awnser?
Determining the prime factorization. It's faster and more efficient with larger numbers.
Why the random sample is important in design of experiment?
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
What factors play a large role in determining climate?
Global winds, insolation, large bodies of water and ocean currents.
