Quiz
Sampling Decision Model CH 9
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Questions in this quiz (50)
1Define Population/Universe
- AStep 1
- BStep 2
- CStep 3
- DStep 4
- EStep 5
2Determine Sampling Frame
- AStep 1
- BStep 2
- CStep 3
- DStep 4
- EStep 5
3Select Sampling method
- AStep 1
- BStep 2
- CStep 3
- DStep 4
- EStep 5
4Determine Sample Size
- AStep 1
- BStep 2
- CStep 3
- DStep 4
- EStep 5
5Select the Sample
- AStep 1
- BStep 2
- CStep 3
- DStep 4
- EStep 5
6Risk of errors in sampling can be set very low by using nonprobability sampling methods and by reducing the sample size.
- ATrue
- BFalse
7Sampling errors occurs from chance, the random error that is introduced into any sample that's taken from a population.
- ATrue
- BFalse
8Random error can be avoided by reducing sample size.
- ATrue
- BFalse
9We cannot reduce sample bias by increasing sample size.
- ATrue
- BFalse
10Controlling sample bias is achieved by careful attention to the sampling process, defining a population of interest, careful selection of representative sample from population, and having success in obtaining responses from the sample group.
- ATrue
- BFalse
11Non-sampling errors can occur in all of these, except.
- AThe data gathering process
- Bmisunderstanding a response
- Cbeing tired and missing response
- Drecording, coding, tabulating, editing, or analysis of data management
- Eall of these can occur
12The definition of a [blank_start]population[blank_end] consists of four parts: element, sampling unit, extent, and time.
- Apopulation
13For general population surveys, a traditional sample frame has been the [blank_start]telephone directory[blank_end]. In the U.S., 95 percent of potential respondents can be reached by [blank_start]telephone[blank_end].
- Atelephone directory
- Btelephone
14With nonprobability sampling a random or a systematic, chance-based procedure is utilized to select the study elements,
- ATrue
- BFalse
15Probability sampling procedures tend to be more objective and allow the use of statistical techniques.
- ATrue
- BFalse
16From a operational perspective, probability sampling offers the advantage of being less expensive and quicker to implement.
- ATrue
- BFalse
17A common analogy for this sampling method is the traditional drawing of a sample from a fishbowl containing slips of paper with names of elements of the sampling frame.
- Astratified sample
- Bcluster sample
- Csystematic sample
- Dsimple random sample
18Systematic sampling is often associated with area sampling.
- ATrue
- BFalse
19Convenience sampling is a probability sampling method.
- ATrue
- BFalse
20Man on the street is an example of this type of sampling.
- AConvenience
- BQuota
- CJudgement
21Focus group recruitment is an example of a judgement sampling process.
- ATrue
- BFalse
22A particular kind of judgement sample is the [blank_start]snowball[blank_end] sample, which relies on the researcher's ability to locate an initial group of respondents with the desired characteristics.
- Asnowball
23The difference between quota sampling and stratified sampling is that quota samples do not use random sampling from the categories, as we do in stratified sampling.
- ATrue
- BFalse
24The 90% confidence level is suggested for most research.
- ATrue
- BFalse
25Probability sampling techniques include the convenience sample, judgment sample, and quota sample.
- ATrue
- BFalse
26Companies that do repeated studies over time to gather similar information to compare data and determine trends tend to use ___________ to determine the sample size for the current study.
- Aprevious sample sizes
- Bquota samples
- Cmagic number
- Dask an expert
- Euse typical sample sizes
27Quota sampling is a nonprobability sampling technique, while a stratified sampling is a probability technique.
- ATrue
- BFalse
28Out of all possible samples of a certain determined size of coin flips, 95 percent from the actual population by no more than three percentage points indicates a margin of error of 3 percent.
- ATrue
- BFalse
29Random error cannot be avoided, but can be greatly reduced by decreasing the size of the sample.
- ATrue
- BFalse
30A random sampling method is a example of a non-statistical method of determining sample size.
- ATrue
- BFalse
31Check the reasons why the sampling technique is preferable to a census.
- ACost savings
- Btime economy
- Cmore in-depth information
- Dgreat practicality and security
- Eless total error
32A listing of the members of the target population that can be used to create and draw the sample.
- ASampling
- BSampling frame
- CPopulation or universe
- DSample size
33Often this universe is called a target population because of the
importance of focusing on exactly who the study objects are and where they are located.- ASampling frame
- BPopulation or universe
- CSampling
- DSample size
34Consists of obtaining information from a portion of a larger group or population.
- ASampling frame
- BPopulation or universe
- CSampling
- DSample size
35Is introduced into the research results from any source other than sampling.
- ANonsampling error
- BSampling error
- CSample bias
- DSampling frame
36Occurs when the sample does not perfectly represent the population under
study.- ASampling error
- BSample bias
- CNonsampling error
- DProbability bias
37Is introduced into a sample when the sample varies in some systematic way
from the larger population.- ASample bias
- BSampling error
- CNonsampling error
- Dsample frame
38The size of the sample will be a function of the accuracy of the sample.
- ASample size
- BSample frame
- CSampling error
- DProbability error
39Samples where each element has a known chance to be included in the sample.
- AProbability sampling
- BNonprobability sampling
- CSimple random sample
- DStratified sample
40Sampling techniques that do not involve the selection of sample elements by chance.
- AProbability sampling
- BNonprobability sampling
- CStratified sampling
- DSimple random sample
41A technique that allows each element of the population an equal and known chance of being selected as part of the sample.
- ASimple random sample
- BStratified sample
- CCluster sample
- DSystematic sample
42Characterized by the fact that the total population is (1) divided into mutually exclusive subgroups (strata) (different age or income groups and the like) and that
(2) a simple random sample is then chosen from each subgroup.- AStratified sample
- BSystematic sample
- CCluster sample
- DSimple random sample
43The population is divided into mutually exclusive subgroups, and the next step involves the selection of a random sample of subgroups rather than a random sample from each subgroup.
- ACluster sample
- BSimple random sample
- CStratified sample
- DSystematic sample
44Every element has a known but not equal chance of being selected.
- ASystematic sample
- BSimple random sample
- CCluster sample
- DStratified sample
45Any process that quickly and easily selects sample elements.
- AConvenience sample
- BJudgment sample
- CQuota sample
- DCluster Sample
46A subjective approach to sampling, the knowledge and experience of a professional researcher can create a very representative sample.
- ACluster sample
- BJudgment sample
- CQuota sample
- DConvenience sample
47Takes great pains to obtain a representative sample by dividing the population and assigning appropriate quotas based on prior knowledge and understanding of the characteristics of the population.
- AQuota sample
- BConvenience sample
- CCluster sample
- DJudgment sample
48Refers to the strength of a relationship or the magnitude of a difference between two values.
- ASubstantive significance
- BSystematic significance
- CStratified significance
- DClustered significance
49A proportionately stratified sample is a sample where the allocation of sample elements is not established according to relative proportion.
- ATrue
- BFalse
50Focus group recruitment is an example of a judgment sampling process.
- ATrue
- BFalse
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- Business/Economics Quiz on Sampling Decision Model CH 9, created by Jessica Kitchens on 26/09/2020.
- Author
- Jessica Kitchens
- Language
- English
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