Correct Answer:
Making supportable conjectures about the unknown characteristics of a population based on sample statistics
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2. A researcher might use a snowball sample if individuals in the population are hard to identify or locate.
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Correct Answer:
True
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3. The difference between a sampling fraction and a sampling interval is that the sampling fraction indicates the relationship between the sample and population sizes while the sampling interval describes the number of elements that are skipped when drawing a sample.
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Correct Answer:
True
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4. The ______ is the number of elements in a sampling frame divided by the desired sample size.
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Correct Answer:
Sampling interval
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5. ____ samples are samples for which each element in the total population has a known probability of being included in the sample.
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Correct Answer:
Probability
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6. A sampling unit ______.
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Correct Answer:
Is an entity listed in a sampling frame
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7. If some of the elements of a population of interest to a research question are not included in the sampling frame, ______.
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Correct Answer:
Then any data collected may not be representative of the population
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8. Numerical or quantitative indicators such as a percent or average that describe a population are called ______.
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Correct Answer:
Population parameters
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9. Any subset of units collected in some manner from a population is a ______.
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Correct Answer:
Sample
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10. Any well-defined set of units of analysis is a ______.
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Correct Answer:
Population
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11. ______ sample is a probability sample in which elements are selected from a list at predetermined intervals.
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Correct Answer:
Systematic sample
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12. A subgroup of a population that shares one or more characteristics is known as stratum
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Correct Answer:
True
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13. ________ is a probability sample in which elements sharing one or more characteristics are grouped and elements are selected from each group in proportion to the group’s representation in the total population.
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Correct Answer:
Stratified sample
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14. The mathematical theory and techniques for making conjectures about the unknown characteristics (parameters) of populations based on samples is called non statistical inference
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Correct Answer:
False
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15. A _____ sample in which potential respondents are identified by respondents already participating in the sample is called snowball sample
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Correct Answer:
Non Probability sample
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16. A _______ sample in which each element has an equal chance of being selected is called simple random same
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Correct Answer:
Probability sample
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17. The entity listed in a sampling frame. It may be the same as an element, or it may be a group or cluster of elements is called
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Sampling unit
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18. The number of elements in a sampling frame divided by the desired sample size is called
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Sampling interval
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19. The population from which a sample is drawn. Ideally, it is the same as the total population of interest to a study is known as
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Sampling frame
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20. The proportion of the population included in a sample is called
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Sampling fraction
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21. The difference between a sample estimate and a corresponding population parameter that arises because only a portion of a population is observed is called
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Correct Answer:
Sampling error
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22. A theoretical (nonobserved) distribution of sample statistics calculated on samples of size N that, if known, permits the calculation of confidence intervals and the test of statistical hypotheses is called sampling introduction
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Correct Answer:
True
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23. Sample statistic is the estimator of a population characteristic or attribute that is calculated from sample data
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Correct Answer:
True
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24. The bias that occurs whenever some elements of a population are systematically excluded from a sample. It is usually due to an incomplete sampling frame or a nonprobability method of selecting elements is known as sample bias
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Correct Answer:
True
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25. ______ is a subset of observations or cases drawn from a specified population.
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Sample
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26. A nonprobability sample in which elements are sampled in proportion to their representation in the population.
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Quota sample
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27. _______ sample is a nonprobability sample in which a researcher uses discretion in selecting elements for observation.
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Correct Answer:
Purposive sample
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28. A probability sample that draws elements from a stratified population at a rate proportional to the size of the samples is called
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Correct Answer:
Proportionate sample
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29. A sample for which each element in the total population has a known probability of being selected is called
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Correct Answer:
Probability sample
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30. _______ is a characteristic or an attribute in a population (not a sample) that can be quantified
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Correct Answer:
Population parameter
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31. All the cases or observations covered by a hypothesis; all the units of analysis to which a hypothesis applies is called ______
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Correct Answer:
Population
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32. A sample for which each ______ in the total population has an unknown probability of being selected is called non probability sample
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Correct Answer:
Element
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33. The mean or average value of a sample statistic based on repeated samples from a population is called expected value
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Correct Answer:
True
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34. Estimator is a statistic based on sample observations that is used to estimate the numerical value of an unknown population parameter.
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Correct Answer:
True
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35. A particular case or entity about which information is collected; the unit of analysis is called
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Correct Answer:
Element
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36. A stratified sample in which elements sharing a characteristic are underrepresented or overrepresented in the sample is known as
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Correct Answer:
Disproportionate sample
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37. ___________ is a nonprobability sample in which the selection of elements is determined by the researcher’s convenience
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Correct Answer:
Convenience sample
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38. A probability sample that is used when no list of elements exists. The sampling frame initially consists of clusters of elements known as
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Correct Answer:
Cluster sample
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Political Science Research Methods MCQs | Topic-wise
