Question Details

One obvious advantage of stratified sampling 



True or false:
1.	A point estimate is a single numeric value, a “best guess” of a population parameter, calculated from the sample data.

	

	2.	The difference between the point estimate and the true value of the population parameter being estimated is called the estimation error.

	

	3.	An interval estimate is an interval calculated from the population data, where we strongly believe the true value of the population parameter lies.

	

	4.	One obvious advantage of stratified sampling is that we obtain separate estimates within each stratum - which we would not obtain if we took a simple random sample from the entire population. A more important advantage is that we can increase the accuracy of the resulting population estimates by using appropriately defined strata.

	

	5.	The sampling distribution of any point estimate (such as the sample mean or proportion) is the distribution of the point estimates we would obtain from all possible samples of a given size drawn from the population.





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