Exam 12: Generalizing Your Findings
Exam 1: An Introduction to Marketing Research54 Questions
Exam 2: The Marketing Research Industry72 Questions
Exam 3: The Marketing Research Process Including the Problem and Research Objectives99 Questions
Exam 4: Research Design Alternatives and Qualitative Research135 Questions
Exam 5: Information Types and Sources: Secondary Data and Standardized Information70 Questions
Exam 6: Data Collection Methods95 Questions
Exam 7: Measurement Scales88 Questions
Exam 8: Designing Data Collection Forms70 Questions
Exam 9: Determining Sample Size and the Sample Plan88 Questions
Exam 10: Data Issues and Inputting Data Into Xl Data Analyst56 Questions
Exam 11: Summarizing Your Data54 Questions
Exam 12: Generalizing Your Findings88 Questions
Exam 14: Determining Relationships107 Questions
Exam 13: Finding Differences64 Questions
Exam 15: Preparing and Presenting Your Research Report80 Questions
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To calculate a confidence interval for an average using your XL Data Analyst,you should use:
Generalize-Confidence Interval-Average.
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Constantly gathering information that either supports or refutes our beliefs is something only statisticians do; intuitive hypothesis testing is not done by persons who are not statisticians.
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The standard error of the percentage depends on two factors: the variability,denoted by p x q,and the sample size,n.
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Sample findings (percentages or averages)are assumed to be approximations of population facts,due to sampling error.
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The confidence interval for an average uses the standard deviation as the measure of variability.
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The proper command sequence using your XL Data Analyst to generate a confidence interval for a percentage is:
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Which is not true of the zα,formula for a population percentage estimation?
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