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1 | |
Sampling is important in: |
| | A) | data collection. |
| | B) | identifying, developing, and understanding new constructs. |
| | C) | developing scale measurements. |
| | D) | designing questionnaires. |
| | E) | all of the above. |
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2 | |
The list of all eligible sampling units comprises the: |
| | A) | population. |
| | B) | defined target market. |
| | C) | sampling frame. |
| | D) | element. |
| | E) | sampling unit |
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3 | |
The representation difference between the population elements and sampling units in the sampling frame is called the sampling: |
| | A) | gap. |
| | B) | element. |
| | C) | universe. |
| | D) | unit. |
| | E) | population. |
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4 | |
The notation used for population size sampling theory is: |
| | A) | þ |
| | B) | e |
| | C) | x |
| | D) | n |
| | E) | N |
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5 | |
Acceptance and understanding of the central limit theorem (CLT) allows the researcher to: |
| | A) | draw representative samples from any target population regardless of the true shape of the population's probability distribution. |
| | B) | draw one random sample, instead of many, to reduce the costs of raw data collection activities. |
| | C) | test more accurately the reliability and validity of constructs and scale measurements. |
| | D) | statistically analyze data structures and transform them into meaningful information about the target population. |
| | E) | all of the above. |
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6 | |
Inaccurately describing the target population is best described as a: |
| | A) | CLT error. |
| | B) | nonsampling error. |
| | C) | sampling error. |
| | D) | precision error. |
| | E) | tolerance error. |
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7 | |
The statistical range of values within which the true value of the defined target population parameter is expected to lie is called the: |
| | A) | confidence interval. |
| | B) | critical tolerance level. |
| | C) | general precision range. |
| | D) | precise precision range. |
| | E) | CLT range. |
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8 | |
Larger sample sizes are generally associated with: |
| | A) | a larger variability of the characteristic in question. |
| | B) | a higher level of confidence. |
| | C) | more precise sample results. |
| | D) | all of the above. |
| | E) | none of the above. |
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9 | |
Generally, a census may be preferred over a sample if defined population size is less than: |
| | A) | 10,000. |
| | B) | 500. |
| | C) | 5,000. |
| | D) | 8,000. |
| | E) | 1,000. |
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10 | |
All of the following are examples of probability sampling methods except: |
| | A) | simple random sampling. |
| | B) | quota sampling. |
| | C) | systematic random sampling. |
| | D) | stratified random sampling. |
| | E) | cluster sampling. |
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11 | |
The most difficult obstacle to the use of simple random sampling is: |
| | A) | obtaining a complete, current, and accurate list of the population's elements. |
| | B) | sample size computations. |
| | C) | determining appropriate quotas for all population elements. |
| | D) | determining appropriate confidence levels. |
| | E) | setting the proper skip level. |
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12 | |
The X-Cel Corporation wants to ensure that each stratum in its sample will appear in a number that is appropriate to its relative significance in the population. The firm will be most likely to use which of the following approaches to stratified random sampling? |
| | A) | disproportionate stratified sampling |
| | B) | cluster sampling |
| | C) | area |
| | D) | proportionate stratified sampling |
| | E) | convenience sampling. |
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13 | |
_______________ sampling is a form of probability sampling in which sampling units are divided into mutually exclusive and collectively exhaustive subpopulations. |
| | A) | Subpopulation |
| | B) | Category |
| | C) | Simple random |
| | D) | Convenience |
| | E) | Cluster |
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14 | |
A mall-intercept project is an example of: |
| | A) | cluster sampling. |
| | B) | simple random sampling. |
| | C) | convenience sampling. |
| | D) | stratified random sampling. |
| | E) | a census. |
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15 | |
______________ sampling is a nonprobability sampling method in which initial respondents assist in identifying additional people to be included in the study. |
| | A) | Area |
| | B) | Snowball |
| | C) | Cluster |
| | D) | Convenience |
| | E) | Stratified random |
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2003 McGraw-Hill Higher Education