Exam 17: Business Analytics
Exam 1: Defining and Collecting Data204 Questions
Exam 2: Organizing and Visualizing Variables185 Questions
Exam 3: Numerical Descriptive Measures167 Questions
Exam 4: Basic Probability163 Questions
Exam 5: Discrete Probability Distributions216 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions187 Questions
Exam 7: Sampling Distributions129 Questions
Exam 8: Confidence Interval Estimation189 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests185 Questions
Exam 10: Two-Sample Tests212 Questions
Exam 11: Analysis of Variance210 Questions
Exam 12: Chi-Square and Nonparametric Tests175 Questions
Exam 13: Simple Linear Regression210 Questions
Exam 14: Introduction to Multiple Regression256 Questions
Exam 15: Multiple Regression Model Building67 Questions
Exam 16: Time-Series Forecasting168 Questions
Exam 17: Business Analytics113 Questions
Exam 18: A Roadmap for Analyzing Data325 Questions
Exam 19: Statistical Applications in Quality Management158 Questions
Exam 20: Decision Making123 Questions
Exam 21: Getting Started: Important Things to Learn First35 Questions
Exam 22: Binomial Distribution and Normal Approximation230 Questions
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You can compute any of the numerical descriptive statistics for the variables of the new worksheet that a drill-down in a PivotTable creates.
(True/False)
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In multidimensional scaling,the stress statistic is used to measure the goodness of fit of the results to the data.
(True/False)
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Successful implementation of a classification tree requires rules for splitting the data at each node based on a dependent variable.
(True/False)
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Which of the following explores business activities that have occurred or are occurring in the present moment?
(Multiple Choice)
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SCENARIO 17-6
The neural network output below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60 $65 or $70 thousands)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV.
-Referring to Scenario 17-6,what is the r-square of model for the validating data?
(Short Answer)
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SCENARIO 17-7
The output below shows the results of cluster analysis on the different regions of the world (North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa)based on the amounts (in billions of US dollars)and the percentage changes from prior year of business-to-consumer ecommerce sales last year.
-Referring to Scenario 17-7,Middle East & Africa is the next region that clusters with the Central & Eastern Europe and Latin America cluster.
(True/False)
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In nonmetric multidimensional scaling,the distance between objects is ordinal scaled.
(True/False)
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In multidimensional scaling,the general rule in to increase the number of dimensions as long as the stress statistic increases substantially.
(True/False)
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SCENARIO 17-5
The output below shows the results of the neural network model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No")into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No")using the date set of 100 customers collected from a survey.
Business Analytics 17-19
-Referring to Scenario 17-5,out of the 7 customers who did switch in the validation data set,how many are correctly classified by the neural network?
(Short Answer)
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In k-means clustering,observations that are assigned to a cluster may never be reassigned to a different cluster later in the process.
(True/False)
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SCENARIO 17-4
The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60,$65 or $70 thousand)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV.
-Referring to Scenario 17-4,the highest mean weekend box office revenue is predicted to occur with at least $45 thousand spent on TV advertisement and fewer than 25 advertisement appearances a day.
(True/False)
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Which of the following investigates what should occur and suggest the best course of action for the future?
(Multiple Choice)
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Each observation is treated as its own cluster at the beginning in hierarchical clustering.
(True/False)
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In multidimensional scaling,the Euclidean distance is most commonly used to measure the distance between objects.
(True/False)
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SCENARIO 17-5
The output below shows the results of the neural network model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No")into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No")using the date set of 100 customers collected from a survey.
Business Analytics 17-19
-Referring to Scenario 17-5,out of the 27 customers who did not switch in the validation data set,how many are correctly classified by the neural network?
(Short Answer)
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Data mining uses various techniques to extract useful information from huge depositories of data.
(True/False)
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In a classification tree,the dependent variable is a categorical variable.
(True/False)
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In metric multidimensional scaling,the distance between objects is ratio scaled.
(True/False)
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Each observation is treated as its own cluster at the beginning in k-means clustering.
(True/False)
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SCENARIO 17-2
The treemap below shows the amounts (size)measured in billions of US dollars and percentage changes from prior year (color)of business-to-consumer ecommerce sales last year for North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa.
-Referring to Scenario 17-2,the Western Europe region has the largest amount of business-to-consumer ecommerce sales last year.
(True/False)
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