Exam 16: Fundamentals of Data Analysis
Exam 1: A Decision Making Perspective on Marketing Intelligence63 Questions
Exam 2: Marketing Research in Practice30 Questions
Exam 3: The Marketing Research Process67 Questions
Exam 4: Research Design and Implementation78 Questions
Exam 5: Secondary Sources of Marketing Data55 Questions
Exam 6: Standardized Sources of Marketing Data50 Questions
Exam 7: Marketing Research on the Internet24 Questions
Exam 8: Information Collection: Qualitative and Observational Methods80 Questions
Exam 9: Information From Respondents: Issues in Data Collection35 Questions
Exam 10: Information From Respondents: Survey Methods60 Questions
Exam 11: Ttitude Measurement95 Questions
Exam 12: Signing the Questionnaire65 Questions
Exam 13: Xperimentation102 Questions
Exam 14: Sampling Fundamentals85 Questions
Exam 15: Sample Size and Statistical Theory45 Questions
Exam 16: Fundamentals of Data Analysis61 Questions
Exam 17: Hypothesis Testing: Basic Concepts and Tests of Association45 Questions
Exam 18: Hypothesis Testing: Means and Proportions20 Questions
Exam 19: Correlation Analysis and Regression Analysis52 Questions
Exam 20: Iscriminant, Factor and Cluster Analysis66 Questions
Exam 21: Multidimensional Scaling and Conjoint Analysis52 Questions
Exam 22: Presenting the Results10 Questions
Exam 23: Marketing-Mix Measures144 Questions
Exam 25: Ontemporary Applications of Marketing Intelligence38 Questions
Exam 25: Atabase Marketing, E-Commerce, Relationship43 Questions
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When problems are identified during the editing stage, the researcher's only options are to re-contact the respondent or to throw out the entire questionnaire.
(True/False)
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The coding of closed-ended questions involves judgment decisions.
(True/False)
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Data analysis is a powerful aid to gaining useful knowledge and it can help an investigator rescue even poorly conceived research.
(True/False)
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Which one of the following is not an assumption underlying a test statistic?
(Multiple Choice)
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Omissions refer simply to the errors resulting from the failure of interviewers to ask all questions.
(True/False)
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The most primitive form of data from data analysis perspective is
(Multiple Choice)
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While analyzing his data, Mr.Thorough decided to use a frequency distribution to study the response to each question.Later he became interested in finding out if there were any significant differences between the three subgroups in his study.The appropriate technique at this stage is the difference between means.
(True/False)
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A researcher who uses a frequency distribution or a single number will necessarily reach the same conclusion.
(True/False)
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A procedure in which the existing data are modified to create new variables is called
(Multiple Choice)
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The purpose of editing is to identify omissions, ambiguities, and errors in the responses.
(True/False)
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What inferences about the relation between income and oven ownership may be drawn from the data above?
(Multiple Choice)
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Nominal-scaled data is the best from the perspective of data analysis
(True/False)
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While inspecting political polling data, you notice that when the distance jogged by the President the independent variable. increases, his popularity rating the dependent variable.goes down. This would indicate a positive correlation between the two variables.
(True/False)
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If a researcher's objective is to analyze a single question for various subgroups, based on a frequency distribution, the technique is termed cross-tabulation.
(True/False)
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It is generally easier to code open-ended questions as compared with closed-ended questions because the researcher has more options with open-ended questions.
(True/False)
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The difference between means is concerned with the association between two questions, the question defining the group for example, smokers or nonsmokers) and another question fear of fires).
(True/False)
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Use the following information for questions
-The table above is an example of a difference between means.

(Multiple Choice)
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A researcher might want to do multivariate analysis for which of the following legitimate reasons? 1-To be able to group variables or people 2-To help improve predictive validity 3-To compare the difference between two means 4-To make the results look more meaningful and impressive to management
(Multiple Choice)
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