Exam 18: Hypothesis Testing: Means and Proportions
Exam 1: A Decision Making Perspective on Marketing Intelligence60 Questions
Exam 2: Marketing Research in Practice26 Questions
Exam 3: The Marketing Research Process60 Questions
Exam 4: Research Design and Implementation68 Questions
Exam 5: Secondary Sources of Marketing Data54 Questions
Exam 6: Standardized Sources of Marketing Data43 Questions
Exam 7: Marketing Research on the Internet24 Questions
Exam 8: Information Collection: Qualitative and Observational Methods72 Questions
Exam 9: Information From Respondents: Issues in Data Collection30 Questions
Exam 10: Information From Respondents: Survey Methods55 Questions
Exam 11: Attitude Measurement86 Questions
Exam 12: Designing the Questionnaire47 Questions
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
Exam 23: Marketing-Mix Measures97 Questions
Exam 24: Brand and Customer Metrics34 Questions
Exam 25: New Age Strategies39 Questions
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What is the degrees of freedom for the explained variation?
a) 1
b) 8
c) 9
d) none of the above
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(Short Answer)
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Correct Answer:
B
The p‐value generally is sensitive to sample size, in that if the sample size increases, the p‐value usually will become larger.
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(True/False)
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Correct Answer:
False
To measure the difference between means or the difference between independent sample proportions, one would probably use which statistical technique?
a) chi-square test
b) sign test
c) F-test
d) t-test
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(Short Answer)
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Correct Answer:
D
The greater the p-value, the higher is the researcher's confidence in the research findings.
(True/False)
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The ANOVA table is a conventional way to present a hypothesis test regarding the difference between several means.
(True/False)
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A good descriptive statistic of measuring the strength of association is to measure "Rho," which is the proportion of variance accounted for in the sample data.
(True/False)
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What is the value of rho from these data?
a) 0.25
b) 0.333
c) 0.42
d) 0.5
(Short Answer)
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When the sample statistic falls within the critical values, it proves that the null hypothesis is true.
(True/False)
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In a hypothesis test when alpha is pre-specified, the researcher is trying to determine "Is the probability of what has been observed lesser than alpha?" and then decide accordingly.
(True/False)
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What was the unexplained variation in this study?
a) 80
b) 160
c) 340
d) 640
(Short Answer)
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An interaction effect means that the impact of a specific treatment will not be the same for each condition of the other treatment in the ANOVA analysis.
(True/False)
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In an ANOVA test, if the "between-treatment variance" is lesser than the "within-treatment variance," then the null hypothesis can be rejected.
(True/False)
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In an ANOVA test, "within-treatment variance" corresponds to the variance in the response variable for a given treatment.
(True/False)
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What F-value do you find from this table?
a) 0.75
b) 0.9
c) 1.0
d) 1.6
(Short Answer)
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The p-value can be defined as the largest significance level at which we would accept the null hypothesis.
(True/False)
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In an ANOVA test, "between-treatment variance" corresponds to the variance in the response variable for different treatments.
(True/False)
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