Exam 17: Hypothesis Testing: Basic Concepts and Tests of Association
Exam 1: A Decision Making Perspective on Marketing Intelligence60 Questions
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Exam 3: The Marketing Research Process60 Questions
Exam 4: Research Design and Implementation68 Questions
Exam 5: Secondary Sources of Marketing Data54 Questions
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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
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A major advantage of the Chi square statistic as a measurement of association between two questions is that it is independent of the sample size, making it easy to interpret in an absolute sense.
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The purpose of hypothesis testing is not to question the computed value of the sample statistic but to make a judgment about the difference between that sample statistic and the hypothesized population parameter.
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