Choose the best answer

1		A sample
			A)	Is a part of the population.
			B)	Has more than 30 observations.
			C)	Is usually identified as N.
			D)	All of the above.
2		Which of the following is not a reason for sampling?
			A)	The destructive nature of certain tests.
			B)	The physical impossibility of checking all the items in the population.
			C)	The adequacy of sample results.
			D)	All of the above are reasons for sampling.
3		Which of the following is not a method of probability sampling?
			A)	Random sampling
			B)	Systematic sampling
			C)	Stratified sampling
			D)	All of the above are methods of probability sampling.
4		In a simple random sample
			A)	Every kth item is selected to be in the sample.
			B)	Every item has a chance to be in the sample.
			C)	Every item has the same chance to be in the sample.
			D)	All of the above.
5		Suppose a population consisted of 20 items. How many different sample of n = 3 are possible?
			A)	6840
			B)	1140
			C)	20
			D)	120
6		The difference between the sample mean and the population mean is called the
			A)	Population mean.
			B)	Population standard deviation.
			C)	Standard error of the mean.
			D)	Sampling error.
7		The mean of the all the sample means and the population mean will
			A)	Always be equal.
			B)	Always be normally distributed.
			C)	Characterized by the standard error of the mean.
			D)	None of the above.
8		Suppose we have a population that follows the normal distribution. Which of the following statements is correct regarding the distribution of sample means?
			A)	A .The population standard deviation is always unknown.
			B)	The distribution of samples means will follow the uniform distribution.
			C)	The distribution of the sample means will also follow the normal distribution.
			D)	None of the above is correct.
9		Suppose we have a population that does not follow the normal distribution. If we select sample of what size will the distribution approximate the normal distribution?
			A)	2
			B)	5
			C)	20
			D)	30.
10		The standard error of the mean is
			A)	The standard deviation of the sampling distribution of sample means.
			B)	Always normally distributed.
			C)	Sometimes less than 0.
			D)	None of the above.