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Mixed Quiz
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1

We practice sampling every once in a while in our day-to-day life. Which of the following will not qualify as an example of sampling?
A)channel surfing and watching each channel just a few seconds to find a program worth watching
B)test driving several cars before picking one for purchase
C)browsing through books at a bookstore before purchasing a book
D)picking a few cards from a deck of playing cards to start playing poker
E)tasting a spoonful of a dish you are making to check if you remembered to add salt
2

Sampling plays a significant role in the research process. It helps in all of the following, EXCEPT:
A)In reducing the time and money it will take to conduct a survey
B)In identifying, developing, and understanding new marketing concepts that need to be investigated
C)In developing scale measurements used to collect primary data
D)In designing questionnaires
E)In observing hidden relationship that cannot be easily hypothesized
3

Which of the following statements is false about an element?
A)An element can be an inanimate object
B)Elements can be collectively viewed as the target population frame from which a sample is drawn
C)An element must be unique and countable
D)An element can be a person
E)An element is a composite of all sampling units
4

Pick out the smallest "entity" from the list below:
A)Population
B)Defined target population
C)Element
D)Sampling unit
E)Sampling frame
5

The amount of sampling error associated with the data at a particular level of confidence is referred to as:
A)General precision
B)Precise precision
C)Confidence precision
D)Critical level of error
E)Specific level of error
6

Assume that McDonald's has done a survey of 100 people to determine the average number of burgers eaten by a person in a month. The sample mean is 20 and the estimated standard deviation of the sample mean is 12. What will be estimated standard error of the sample mean?
A)240
B)0.6
C)5
D)1.2
E)2
7

A researcher finds the sample mean to be 12 and estimated standard error of the sample mean to be 2. Construct an approximate confidence interval for 95% level of confidence.
A)10 to 14
B)10.1 to 13.9
C)8 to 16
D)7 to 17
E)6 to 24
8

The acceptable critical level of error (also called the desired degree of precision) is:
A)specified by the researcher
B)a function of the variability in population parameter
C)a product of estimated standard error and critical z-value
D)directly related to the level of confidence
E)dependent on the estimated mean value of the parameter
9

If the total size of the target population is 1,200 and the calculated sample size using the original sample size formula is 120, what would be the sample size after applying the finite correction factor?
A)1,080
B)114
C)132
D)127
E)110
10

One should consider doing a census instead of a sample if the defined target population drops below:
A)2,000
B)1,000
C)500
D)200
E)50
11

A researcher plans to use a mailing list of 600 people to send out his survey. He expects that 15% of those who receive the survey are unlikely to fill out and return the survey. The survey is said to have a ________ of 85%.
A)hit rate
B)reachable rate
C)response rate
D)overall incidence rate
E)expected completion rate
12

If an element is incorrectly identified, it can create a bias called target population frame error.
A)True
B)False
13

One fool-proof (though impractical and expensive) way of removing all non-sampling error is to do a census (instead of a sample) of the entire target population.
A)True
B)False
14

With everything else being equal, as you increase the sample mean value, the range of confidence interval also goes up.
A)True
B)False
15

If the population size is 1,000 and the sample size is 90, finite correction factor should be applied.
A)True
B)False







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