Question Details

A sample statistic is an unbiased estimator of the population parameter 




1.	Whenever the population has a normal probability distribution, the sampling distribution of   is a normal probability distribution

	a.	for only large sample sizes
	b.	for only small sample sizes
	c.	for any sample size
	d.	for only samples of size thirty or greater
	e.	None of the above answers is correct.
	
2.	The sampling error is the

	a.	same as the standard error of the mean
	b.	difference between the value of the sample mean and the value of the population mean
	c.	error caused by selecting a bad sample
	d.	standard deviation multiplied by the sample size
	e.	None of the above answers is correct.
	

3.	A sample statistic is an unbiased estimator of the population parameter if

	a.	the expected value of the sample statistic is equal to zero
	b.	the expected value of the sample statistic is equal to one
	c.	the expected value of the sample statistic is equal to the population parameter
	d.	All of the above answers are correct.
	e.	None of the above answers is correct.
	
4.	From a population of 200 elements, a sample of 49 elements is selected.  It is determined that the sample mean is 56 and the sample standard deviation is 14.  The standard error of the mean is

	a.	3
	b.	2
	c.	greater than 2
	d.	less than 2
	e.	None of the above answers is correct.
	
5.	Which of the following is considered to be a more efficient estimator?

	a.	sample median
	b.	sample mode
	c.	sample mean
	d.	any measure of central location
	e.	None of the above answers is correct.



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