Exam 9: Sampling Methods and Sample Size
Exam 1: Introduction to Marketing Research105 Questions
Exam 2: Ethics in Marketing Research109 Questions
Exam 3: Secondary Data99 Questions
Exam 4: Research Designs: Exploratory and Qualitative Research98 Questions
Exam 5: Research Designs: Descriptive and Causal Research170 Questions
Exam 6: Measurement126 Questions
Exam 7: Primary Data Collection127 Questions
Exam 8: Designing the Data-Gathering Instrument115 Questions
Exam 9: Sampling Methods and Sample Size131 Questions
Exam 10: Fielding the Data-Gathering Instrument101 Questions
Exam 11: Analyzing and Interpreting Data for Decisions98 Questions
Exam 12: Advanced Data Analysis98 Questions
Exam 13: The Research Report85 Questions
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Quota sampling is a probability sampling technique, while stratified sampling is a nonprobability technique.
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False
Probability sampling techniques include simple random sample, stratified sample, cluster sample, and systemic sample.
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True
In using the "typical sample size" method of determining the size of a sample, for every less important subgroup in the study you should have 100 or more respondents.
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False
A systematic sample is initiated by randomly selecting a digit, n, then selecting a sample element at every nth interval.
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The least expensive and least time-consuming sampling techniques is generally considered to be the
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Probability samples are those samples where each element has an equal chance to be included in the sample.
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"Ask an expert" is not a statistical approach for establishing appropriate sample size.
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The choice of sample size for a nonprobability sample is made on a statistical basis.
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Nonprobability sampling does not allow for the calculation of the sample error.
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The most significant advantages of sampling include all of the following except
(Multiple Choice)
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The goal of developing an appropriate sample frame is to get a list of elements of the target population that is exclusive but with minimal duplication.
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If a researcher wants a 68.3% level of confidence, it would equate to a Z-Value of
(Multiple Choice)
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If a researcher wants a 95.5% level of confidence (Z-Value = 2.00) and has determined the acceptable precision width to be 80, the sampling error on either side of the mean would be
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Sample bias is introduced into the sample when the sample varies in some systematic way from the larger population.
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Sampling error occurs when the sample perfectly represents the population under study.
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Precision and confidence are interrelated and with a given sample size, increasing one will increase the other.
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The large group of interest to the researcher is called the population or the universe.
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The least expensive and least time-consuming sampling technique is generally considered to be the convenience sample.
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Nonprobability sampling techniques tend to be the methods of choice for descriptive research while probability sampling tends to be used for exploratory research.
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Companies that do repeated studies over time to gather information to compare data and determine trends tend to use the "previous sample size" nonstatistical method of determining the size of the sample.
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