Lesson 6 Exam
Question 1
Question 1
The __________ holds that our actual sample is one of the many theoretical samples comprising the assumed bell-shaped curve of possible sample results using the hypothesized value as the center of the bell-shaped distribution.
a) standard deviation
b) sampling distribution concept
c) standard error of the statistic
d) hypothesized parameter value
Question 2
Which of the following is NOT used to test hypotheses?
a) Sample statistic (mean or percentage)
b) Parameter estimate
c) Standard error of the statistic (mean or percentage)
d) Hypothesized parameter value
Question 3
Statistical concepts such as t tests of differences and analysis of variance are forms of __________ analysis.
a) differences
b) association
c) predictive
d) inference
Question 4
__________ are concerned with depicting the typical difference between the values in a set of values.
a) Cross-tabulations
b) Multiple regressions
c) Standard deviations
d) Measures of variability
Question 5
The two types of statistical inferences often used by marketing researchers are:
a) frequency distributions and standard deviations.
b) regression analyses and measures of variability.
c) parameter estimates and hypothesis tests.
d) descriptive analyses and predictive analyses.
Question 6
__________ analysis determines the strength and direction of relationships between two or more variables.
a) Differences
b) Association
c) Predictive
d) Inference
Question 7
Which of the following refers to a measure of the variability in the sampling distribution based on what is theoretically believed to occur if we were to take a multitude of independent samples from the same population?
a) Multiple variance analysis
b) Variance
c) Standard error
d) Predictive analysis
Question 8
The __________ is a descriptive analysis measure defined as that value in a string of numbers that occurs most often.
a) uncertainty
b) contrast
c) mode
d) mean
Question 9
Suppose we wish to test the hypothesis that an internship program allows its interns to earn $2,750 per semester and let us assume that this hypothesis is, in fact, true. Which of the following best illustrates the logic of hypothesis testing at the 95% confidence level?
a) From among 100 samples, 95 percent of them would generate means that fell within ±1.96 z scores.
b) From among 99 samples, 100 percent of them would generate means that fell within ±2.58 z scores.
c) From among 100 samples, 95 percent of them would generate means that fell within ±2.58 z scores.
d) From among 100 samples, 99 percent of them would generate means that fell within ±1.96 z scores.
Question 10
Statistical procedures and models are available to the marketing researcher to help make forecasts about future events, and these fall under the category of __________ analysis.
a) differences
b) association
c) predictive
d) inference
Question 11
The square of standard deviation is known as:
a) a median.
b) variance.
c) standard deviation.
d) sample size.
Question 12
Statistical concepts such as range and standard deviation are forms of __________ analysis.
a) differences
b) association
c) predictive
d) descriptive
Question 13
The proper command sequence in SPSS to generate a confidence interval for a mean is:
Question 14
The __________ identifies the distance between lowest value and the highest value in an ordered set of values.
a) median
b) variance
c) standard deviation
d) range
Question 15
________ is defined as the process of describing a dataset by computing a small number of statistics that characterize various aspects of the data.
a) Data normalization
b) Data mining
c) Data analysis
d) Data coding
Question 16
Multiple regression is a form of __________ analysis.
a) difference
b) association
c) relationships
d) inference
Question 17
__________ analysis is used by marketing researchers to describe the sample dataset in such a way as to portray the typical respondent and to reveal the general pattern of responses.
a) Differences
b) Association
c) Predictive
d) Descriptive
Question 18
A demographic question such as "What is your gender?" should have which of the following central tendency measure for the responses?
a) Mode
b) Variance
c) Median
d) Range
Question 19
A demographic question such as "On a scale of 1 to 5, how does Starbucks rate on variety of its coffee drinks?" should have which of the following central tendency measure for the responses?
a) Mode
b) Variance
c) Median
d) Mean
Question 20
A 99 percent confidence interval allows us to say that if we took many samples from the population:
Lesson 7 Exam
Question 21
Iams marketing over 20 different types of dog food, Toyota marketing over 20 different types of cars, and Boeing having five different types of commercial jets and a separate business jets division are all examples of:
a) differing markets strategy.
b) marketing variation.
c) market segmentation.
d) market separation.
Question 22
Which type of relationship is described by relationships that may be S-shaped or J-shaped?
a) Causal relationship
b) Linear relationship
c) Curvilinear relationship
d) Nonmonotonic relationship
Question 23
Which of the following is NOT part of the advantages that ANOVA has over performing multiple t tests of the significance of the differences between means?
a) It immediately notifies the researcher if there is any significant difference.
b) All the researcher needs to do is look at the "Sig."
c) It arranges the means so the significant differences can be located.
d) SPSS will only do ANOVA tests, not t tests of the differences between means.
Question 24
To be useful to the marketing researcher or manager, differences must be:
a) meaningful.
b) stable.
c) actionable.
d) All of the above
Question 25
We know that McDonald's customers drink coffee for breakfast and soft drinks at lunch. This is an example of what type of relationship?
a) Causal relationship
b) Linear relationship
c) Monotonic relationship
d) Nonmonotonic relationship
Question 26
The owner of a shoe store knows that as children increase in age, their shoe size tends to get larger. This is an example of what type of relationship?
a) Causal relationship
b) Duotonic relationship
c) Monotonic relationship
d) Nonmonotonic relationship
Question 27
What is used to determine whether a nonmonotonic relationship exists between two nominal-scaled variables?
a) Tabulation analysis and t tests
b) Cross-tabulation and chi-square tests
c) Cross-tabulation and t tests
d) Tabulation analysis and chi-square tests
Question 28
Let's assume there are juniors, seniors, and graduate students in your class and we want to know if their average GPAs differ. What is the proper statistical test?
a) t test
b) means/differences test
c) Levene's test
d) ANOVA
Question 29
A meaningful difference is one that the marketing manager:
Question 30
To test whether a true difference exists between two group percentages, we test the __________ hypothesis.
a) z
b) t
c) z or t hypothesis; it does not matter
d) null
Question 31
The fact that different segments of flu or cold sufferers will consistently seek different medications targeted at their symptoms (sore throat, nasal congestion, cough, etc.) illustrates the use of differences that are:
a) significant.
b) meaningful.
c) stable.
d) actionable.
Question 32
Fortunately, when testing for differences, you will not need to be concerned whether to use the t or z test because:
Question 33
In order to be potentially useful for a marketing manager, differences must at minimum be:
Question 34
Which BEST represents the correct meaning of statistical significance of differences?
Question 35
A cross-tabulation table is sometimes referred to as a:
a) tabular table.
b) nonmonotonic display table.
c) r x c table.
d) t x n table.
Question 36
The t value is used for many tests instead of the z value because:
Question 37
The four basic types of relationships between two variables are:
Question 38
You do not have a "relationship" that links the labels (or levels) for two variables unless the relationship is:
Question 39
In your textbook, you learn to test for significant differences between:
d)
Question 40
If you were to find a significant association between two nominally scaled variables, a good way to present the findings in your cross-tabulation table would be to use:
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