Exam 15: Sample Size and Statistical Theory
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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If we wanted to be 95 percent confident that we wouldn't make an error of more than 1 unit in our estimate of
for
= 2), we would need a sample size of approximately 16.


(True/False)
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When a complex multi-stage design is involved, a common approach is to replicate the entire sampling plan and get various independent estimates of the sample mean.
(True/False)
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Let the variance of a normally distributed random sample be 16.A point that is 8 units away from the mean is
(Short Answer)
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Assume that
is distributed normally with 11efcb9a_a811_8fc8_b057_bbe19516e4bb_TB7490_00 = 0, 11efcb9a_a811_8fc8_b057_bbe19516e4bb_TB7490_002 = 1.What is Pz = 1)?

(Multiple Choice)
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The sample mean is not known, but it can be estimated from the population characteristics.
(True/False)
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The distribution which we say always assume to be "normal" or bell shaped is the
a) sampling distribution
b) population distribution
c) sample distribution
d) variance distribution
e) standard distribution
(Short Answer)
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If the population variance is 4, the sample standard deviation must be 2.
(True/False)
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Bo Derek calculates that she needs a sample size of 200, given the estimated mean, accuracy variance and required Z-score.However, she learns that the variance is actually one-half of what she originally believed.Her required sample size will now be
a) 100
b) 800
c) 400
d) 50
e) none of the above
(Short Answer)
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Before the sample is drawn, the probability that the sample mean will exceed 9 ounces is closest to
(Multiple Choice)
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The two population characteristics of most interest to researchers are
and The two population characteristics of most interest to researchers.

(True/False)
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A researcher takes a modest sample and, if results are worthwhile, opts for a larger sample.This type of sampling is called sequential sampling.
(True/False)
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What happens to the standard deviation of the sample mean, if we change the sample size from 25 to 100?
(Multiple Choice)
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A market research firm has been engaged to do a study of dishwashing detergents preferred by homemakers in San Francisco 800,000 population) as compared to those preferred in New York 8,000,000 population).In order to obtain results of about equal reliability in each city, the number of homemakers polled in New York should be
(Multiple Choice)
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If all members of the population have identical opinions on an issue, a sample of one is unsatisfactory.
(True/False)
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The standard error of the mean is the same as the
a) standard deviation of the population
b) standard deviation of the normal distribution
c) standard deviation of the sampling distribution
d) none of the above
(Short Answer)
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