Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables
Exam 1: The Role of Marketing Research70 Questions
Exam 2: Information Systems and Knowledge Management70 Questions
Exam 3: The Marketing Research Process85 Questions
Exam 4: The Human Side of Marketing Research: Organizational and Ethical Issues74 Questions
Exam 5: Problem Definition: Jump-Starting the Research Process75 Questions
Exam 6: Qualitative Research Tools80 Questions
Exam 7: Secondary Data Research in a Digital Age75 Questions
Exam 8: Survey Research: an Overview80 Questions
Exam 9: Survey Research: Basic Methods of Communication With Respondents75 Questions
Exam 10: Observation80 Questions
Exam 11: Experimental Research: An Overview85 Questions
Exam 12: Test Markets and Experimental Design75 Questions
Exam 13: Measurement80 Questions
Exam 14: Attitude Measurement75 Questions
Exam 15: Questionnaire Design85 Questions
Exam 16: Sampling Designs and Sampling Procedures75 Questions
Exam 17: Determination of Sample Size: A Review of Statistical Theory80 Questions
Exam 18: Fieldwork69 Questions
Exam 19: Editing and Coding: Transforming Raw Data Into Information75 Questions
Exam 20: Basic Data Analysis: Descriptive Statistics75 Questions
Exam 21: Univariate Statistical Analysis75 Questions
Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables75 Questions
Exam 23: Bivariate Statistical Analysis: Measures of Association75 Questions
Exam 24: Introducing Multivariate Statistical Analysis80 Questions
Exam 25: Communicating Research Results: Research Report, oral Presentation, and Research Follow-Up70 Questions
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One way to test the significance of contingency tables is by means of the chi-square test.
(True/False)
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Explain what an independent samples t-test is and the null hypothesis examined.
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Practically speaking,what is the first thing a researcher should do when interpreting ANOVA results?
(Multiple Choice)
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Explain what a Z-test for comparing two proportions is and the appropriate null hypothesis.
(Essay)
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In a brand awareness study,if 25 of a group of 35 males identify the brand correctly and 15 of a group of 35 females identify this brand correctly,the chi-square value for this study is approximately:
(Multiple Choice)
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Which test should be used when comparing the means of three groups to see if they are significantly different from one another?
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A test of a hypothesis to determine if two groups differ with respect to the scores on one variable is called a(n)____________________.
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In using the t-test to compare the means of two groups,the degrees of freedom are:
(Multiple Choice)
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An appropriate test for comparing the scores of two interval variables drawn from related populations is the ____________________.
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The null hypothesis when using the Z-test for the differences between the proportions of two groups is that ____________________.
(Short Answer)
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A statistical test that is used often in marketing research tests the difference between two groups in terms of some behavior (e.g.attitude toward a brand).
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The alternative hypothesis when using the Z-test for the difference between the proportions for two groups is:
(Multiple Choice)
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In a study comparing the means of two groups in which there are 45 males in Group 1 and 37 females in Group 2,the degrees of freedom for this study when using the t-test for the difference between means is:
(Multiple Choice)
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