1. population to deal with in the sample
2. Location. ocation where the sample will be done
3. design. how the sample will be taken
4. result. how the outcome will be determined
Factors that determine sample size
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.
Answer D- A higher sample size gives more accurate results- APEX LEARNING
Assuming that you know the population size, N, and that you are confident that the sample size, n, you have chosen is adequate, then the skip interval is ~n/N. For example, if the populaton size if 998 and you reckon that you need a sample size of 20 then the skip interval would be 50.
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Factors that determine sample size
A sample size is needed whenever you conduct an experiment. How you determine an adequate sample size depends on the scope of what you're testing, such as medications.
They do not. Population size does not affect the sample size. The variability of the characteristic that you are trying to measure and the required accuracy will determine the appropriate sample size.
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There is no "ideal" sample size for any given population, because polls and other statistical analysis forms depend on many factors, including what the survey is intended to show, who the target audience is, how much statistical error is permitted, and so on. The "Survey System" link, below, offers definitions and a couple of calculators to determine the best sample size for most purposes.
size, and shape
According to the website Survey System's Creative Research Systems page, you can use a sample size calculator to determine how many people need to be interviewed in order to meet your target.
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
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This is a little vague, but size and shape?
Statistical sampling is an objective approach using probability to make an inference about the population. The method will determine the sample size and the selection criteria of the sample. The reliability or confidence level of this type of sampling relates to the number of times per 100 the sample will represent the larger population. Non-statistical sampling relies on judgment to determine the sampling method,the sample size,and the selection items in the sample.