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sample is the population we make our study about them.
Given that the study manager wants the QC efforts to be focused on selecting outlier values, whose method is a better way of selecting the sample
It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
Answer D- A higher sample size gives more accurate results- APEX LEARNING