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Selecting a random sample from each identifiable subgroup within a populati

Selecting a random sample from each identifiable subgroup within a population 


1.	Selecting a random sample from each identifiable subgroup within a population is called:
a.	random sampling
b.	systematic sampling
c.	stratified sampling
d.	cluster sampling
e.	None of these options


	

	2.	Potential sample members, called sampling units, are:
a.	people	c.	households
b.	companies	d.	All of these options


	

	3.	In sampling, a population is:
a.	the set of all humans
b.	the set of all members about which a study intends to make inferences
c.	any group of test subjects
d.	a random group of individuals, households, cities or countries


	

	4.	The key to using stratified sampling is:
a.	identifying the strata	c.	defining the strata
b.	selecting the appropriate strata	d.	randomizing the strata


	

	5.	A sampling error is the result of:
a.	measurement error	c.	nontruthful responses
b.	nonresponse bias	d.	bad luck




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16 Apr 2016

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  1. Genius

    Selecting a random sample from each identifiable subgroup within a population

    Selecting a random sample from each identifiable subgroup within a population Selecting a random sam ****** ******
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