Exam 14: Sampling Fundamentals
Exam 1: A Decision Making Perspective on Marketing Intelligence60 Questions
Exam 2: Marketing Research in Practice26 Questions
Exam 3: The Marketing Research Process60 Questions
Exam 4: Research Design and Implementation68 Questions
Exam 5: Secondary Sources of Marketing Data54 Questions
Exam 6: Standardized Sources of Marketing Data43 Questions
Exam 7: Marketing Research on the Internet24 Questions
Exam 8: Information Collection: Qualitative and Observational Methods72 Questions
Exam 9: Information From Respondents: Issues in Data Collection30 Questions
Exam 10: Information From Respondents: Survey Methods55 Questions
Exam 11: Attitude Measurement86 Questions
Exam 12: Designing the Questionnaire47 Questions
Exam 13: Experimentation83 Questions
Exam 14: Sampling Fundamentals70 Questions
Exam 15: Sample Size and Statistical Theory41 Questions
Exam 16: Fundamentals of Data Analysis48 Questions
Exam 17: Hypothesis Testing: Basic Concepts and Tests of Association22 Questions
Exam 18: Hypothesis Testing: Means and Proportions26 Questions
Exam 19: Correlation Analysis and Regression Analysis42 Questions
Exam 20: Discriminant, Factor and Cluster Analysis58 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis47 Questions
Exam 22: Presenting the Results17 Questions
Exam 23: Marketing-Mix Measures97 Questions
Exam 24: Brand and Customer Metrics34 Questions
Exam 25: New Age Strategies39 Questions
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Non-probability sampling is typically used in descriptive type of research.
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A rule of thumb for determining sample size is to make sure that the largest subgroup to be analyzed contains 100 members.
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A researcher who tries to better represent a population by combining lists of population members may have to face the problem of duplication.
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A researcher, involved in a study of the population of Houston, divided the city into city blocks and then drew a random sample of 200 city blocks.All households in the 200 blocks were interviewed. The researcher used
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In judgmental sampling, the expert uses his judgment to identify the representative samples.
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Hidden biases in non-probability samples can be eliminated by increasing the sample size.
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There is no evidence that people who are listed in the telephone book and those who are not listed are different.
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Determining the sample size in a stratified sampling plan involves identifying homogeneous subgroups.
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The object of sampling is to obtain data that is representative of the population.
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The efficiency of call-backs can be improved by systematically scheduling call-backs at the same time every day.
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