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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Marketing researchers frequently use cross-tabulation techniques in data analysis.
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True
The key statistical test for an ANOVA model is the:
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C
In using the Z-test for comparing two proportions,the null hypothesis is typically stated as:
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A
When the difference between two groups is measured,this is a form of bivariate statistics.
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Supposed you used a 10-point rating scale to measure intention-to-buy (1 = definitely would not buy and 10 = definitely would buy).If a group of 40 males had a mean of 7 and a standard deviation of 2.5,while a group of 35 females had a mean of 5 and a standard deviation of 1.4,the standard error of the difference between the means would be approximately:
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One way to interpret the meaning of the results of the t-test is to focus on the ____________________ and the group means.
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Another form of the alternative hypothesis when testing the difference between the means of the two groups is:
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The null hypothesis for an ANOVA test comparing the means of three groups is: m₁ ₌ m₂ ₌ m₃.
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In order to use the chi-square test,the expected frequency in each of the cells of the contingency table should be at least:
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In using the t-test to compare the difference between the means of two groups,the formula for determining the degrees of freedom is ____________________.
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Means that appear to be not so close to each other are usually statistically concluded that they are different.
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In practice,what is the first step in interpreting the t-test when comparing two means?
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The formula for determining the degrees of freedom for a chi-square test is ____________________.
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Discuss when a paired-samples t-test is appropriate and give an example of when it should be used.
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The t-test for comparing the means of two groups assumes that the data are in nominal scales.
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In using the t-test to compare the difference between the means of two groups,the null hypothesis is normally stated as ____________________.
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The first basic step in interpreting t-test results is to find the p-value associated with a particular t and the corresponding degrees of freedom.
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A cross-tabulation is a simple way to describe the relationships between two groups.
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How many degrees of freedom are there in a four-cell chi-square test?
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The ____________________ test studies the significance of a joint frequency distribution.
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