Question Details

We can measure the accuracy of judgmental samples 



True or false:

1.	The primary advantage of cluster sampling is sampling convenience (and possibly less cost). The downside, however, is that the inferences drawn from a cluster sample can be less accurate, for a given sample size, than for other sampling plans.

	

	2.	We can measure the accuracy of judgmental samples by applying some simple rules of probability. This way, judgmental samples are not likely to contain our built-in biases.

	

	3.	When we sample less than 5% of the population, the finite population correction factor; fpc =  , is used to modify the formula for the standard error of the sample mean.

	

	4.	If a simple random sample of size n is chosen from a population of size N, then each member of the population has probability N / n of being chosen in the sample.

	
	5.	Simple random sampling can result in under-representation or over-representation of certain segments of the population. This is one of several reasons that simple random samples are almost never used in real applications.




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