Sampling in Political Science MCQs
Sampling in Political Science MCQs
These Sampling in Political Science multiple-choice questions and their answers will help you strengthen your grip on the subject of Sampling in Political Science. You can prepare for an upcoming exam or job interview with these Sampling in Political Science MCQs.
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1: A probability sample that is used when no list of elements exists. The sampling frame initially consists of clusters of elements known as
A. Cluster sample
B. Convenience sample
C. Disproportionate sample
D. None of above
2: ___________ is a nonprobability sample in which the selection of elements is determined by the researcher’s convenience
A. Cluster sample
B. Convenience sample
C. Disproportionate sample
D. None of above
3: A stratified sample in which elements sharing a characteristic are underrepresented or overrepresented in the sample is known as
A. Cluster sample
B. Convenience sample
C. Disproportionate sample
D. None of above
4: A particular case or entity about which information is collected; the unit of analysis is called
A. Element
B. Compound
C. Mixture
D. None of above
5: Estimator is a statistic based on sample observations that is used to estimate the numerical value of an unknown population parameter.
A. True
B. False
6: The mean or average value of a sample statistic based on repeated samples from a population is called expected value
A. True
B. False
7: A sample for which each ______ in the total population has an unknown probability of being selected is called non probability sample
A. Element
B. Compound
C. Mixture
D. None of above
8: All the cases or observations covered by a hypothesis; all the units of analysis to which a hypothesis applies is called ______
A. Population
B. Community
C. Species
D. None of above
9: _______ is a characteristic or an attribute in a population (not a sample) that can be quantified
A. Population parameter
B. Community parameter
C. Species
D. None of above
10: A sample for which each element in the total population has a known probability of being selected is called
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Proportionate sample
11: A probability sample that draws elements from a stratified population at a rate proportional to the size of the samples is called
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Proportionate sample
12: _______ sample is a nonprobability sample in which a researcher uses discretion in selecting elements for observation.
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Purposive sample
13: A nonprobability sample in which elements are sampled in proportion to their representation in the population.
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Quota sample
14: ______ is a subset of observations or cases drawn from a specified population.
A. Sample
B. Data
C. Non-sample
D. None of above
15: 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
A. True
B. False
16: Sample statistic is the estimator of a population characteristic or attribute that is calculated from sample data
A. True
B. False
17: 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
A. True
B. False
18: The difference between a sample estimate and a corresponding population parameter that arises because only a portion of a population is observed is called
A. Sampling introduction
B. Sampling data
C. Sampling error
D. All of above
19: The proportion of the population included in a sample is called
A. Sampling introduction
B. Sampling data
C. Sampling fraction
D. None of above
20: 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
A. Sampling introduction
B. Sampling data
C. Sampling frame
D. None of above
21: The number of elements in a sampling frame divided by the desired sample size is called
A. Sampling introduction
B. Sampling data
C. Sampling interval
D. All of above
22: 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
A. Sampling introduction
B. Sampling data
C. Sampling unit
D. None of above
23: A _______ sample in which each element has an equal chance of being selected is called simple random same
A. Probability sample
B. Non Probability sample
C. Actual sample
D. None of above
24: A _____ sample in which potential respondents are identified by respondents already participating in the sample is called snowball sample
A. Probability sample
B. Non Probability sample
C. Actual sample
D. None of above
25: The mathematical theory and techniques for making conjectures about the unknown characteristics (parameters) of populations based on samples is called non statistical inference
A. True
B. False
26: ________ 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.
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Stratified sample
27: A subgroup of a population that shares one or more characteristics is known as stratum
A. True
B. False
28: ______ sample is a probability sample in which elements are selected from a list at predetermined intervals.
A. Snowball sample
B. Probability sample
C. Snowball sample
D. Systematic sample
29: Any well-defined set of units of analysis is a ______.
A. Population
B. Research question
C. Sampling method
D. Sample
30: Any subset of units collected in some manner from a population is a ______.
A. Parameter
B. Research question
C. Sampling method
D. Sample
31: Numerical or quantitative indicators such as a percent or average that describe a population are called ______.
A. Population measures
B. Population parameters
C. Population statistics
D. Population sampling
32: If some of the elements of a population of interest to a research question are not included in the sampling frame, ______.
A. Then any data collected may not be representative of the population
B. Then any data collected may not be representative of the sample
C. Then any data collected may not be used in empirical analysis
D. Then any data collected may not be used to make inferences
33: A sampling unit ______.
A. Is an organization that uses samples
B. Is an entity listed in a sampling frame
C. A method of sampling
D. A nonproportional sample
34: ____ samples are samples for which each element in the total population has a known probability of being included in the sample.
A. Nonprobability
B. Probability
C. Proportional
D. Nonproportional
35: The ______ is the number of elements in a sampling frame divided by the desired sample size.
A. Sampling unit
B. Sampling error
C. Sampling fraction
D. Sampling interval
36: 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.
A. True
B. False
37: A researcher might use a snowball sample if individuals in the population are hard to identify or locate.
A. True
B. False
38: Statistical inference is ______.Your answer Choice Correct? Score Correct answer
A. Used in measuring variability of a sampling distribution
B. Used in measuring dispersion of a sampling distribution
C. Making conjecture about unknown sample statistics based on population parameters
D. Making supportable conjectures about the unknown characteristics of a population based on sample statistics
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Sampling in Political Science MCQs
