Exam 14: Sampling Fundamentals
Exam 1: A Decision Making Perspective on Marketing Intelligence63 Questions
Exam 2: Marketing Research in Practice30 Questions
Exam 3: The Marketing Research Process67 Questions
Exam 4: Research Design and Implementation78 Questions
Exam 5: Secondary Sources of Marketing Data55 Questions
Exam 6: Standardized Sources of Marketing Data50 Questions
Exam 7: Marketing Research on the Internet24 Questions
Exam 8: Information Collection: Qualitative and Observational Methods80 Questions
Exam 9: Information From Respondents: Issues in Data Collection35 Questions
Exam 10: Information From Respondents: Survey Methods60 Questions
Exam 11: Ttitude Measurement95 Questions
Exam 12: Signing the Questionnaire65 Questions
Exam 13: Xperimentation102 Questions
Exam 14: Sampling Fundamentals85 Questions
Exam 15: Sample Size and Statistical Theory45 Questions
Exam 16: Fundamentals of Data Analysis61 Questions
Exam 17: Hypothesis Testing: Basic Concepts and Tests of Association45 Questions
Exam 18: Hypothesis Testing: Means and Proportions20 Questions
Exam 19: Correlation Analysis and Regression Analysis52 Questions
Exam 20: Iscriminant, Factor and Cluster Analysis66 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis52 Questions
Exam 22: Presenting the Results10 Questions
Exam 23: Marketing-Mix Measures144 Questions
Exam 25: Ontemporary Applications of Marketing Intelligence38 Questions
Exam 25: Atabase Marketing, E-Commerce, Relationship43 Questions
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An approach in which each population member, and thus each possible sample, has an equal probability of being selected is known as.
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Sampling frame is a list of population members used to obtain a sample.
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Sampling error is the difference in value between the population parameter and the sample statistic that occurs because of sampling.
(True/False)
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What common characteristics do the three non-probability sampling techniques possess?
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It is possible for on-line and traditional research methods to yield similar results
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One technique for dealing with not-at-home is to predict their responses from a knowledge of respondents' frequency of being away from home.
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One way to stratify in a shopping center intercept study is by time segments.
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Sample size is typically small in case of ____________ research
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Census is appropriate if the population size is large and the cost and time associated with obtaining the information is high.
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For most studies, more than one target population can be defined.
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A researcher who is faced with the problem of non-response can attempt to reduce the potential bias of the results by
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The term "sampling unit" is always used to refer to a "respondent."
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Stratified sampling is useful when subgroups can be identified as representative of the whole population.
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One way to overcome the problem of unlisted telephone numbers is to dial numbers randomly.
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Which of the following is the most cost-effective probability sampling technique?
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Non-probability sampling allows the researcher to explicitly identify possible biases.
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In cluster sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample.
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