Exam 17: Data Mining
Exam 1: Introduction to Data Analysis and Decision Making30 Questions
Exam 2: Describing the Distribution of a Single Variable66 Questions
Exam 3: Finding Relationships Among Variables46 Questions
Exam 4: Probability and Probability Distributions56 Questions
Exam 5: Normal, Binomial, Poisson, and Exponential Distributions56 Questions
Exam 6: Decision Making Under Uncertainty54 Questions
Exam 7: Sampling and Sampling Distributions77 Questions
Exam 8: Confidence Interval Estimation53 Questions
Exam 9: Hypothesis Testing63 Questions
Exam 10: Regression Analysis: Estimating Relationships79 Questions
Exam 11: Regression Analysis: Statistical Inference69 Questions
Exam 12: Time Series Analysis and Forecasting75 Questions
Exam 13: Introduction to Optimization Modeling70 Questions
Exam 14: Optimization Models63 Questions
Exam 15: Introduction to Simulation Modeling64 Questions
Exam 16: Simulation Models56 Questions
Exam 17: Data Mining18 Questions
Exam 18: Importing Data Into Excel18 Questions
Exam 19: Analysis of Variance and Experimental Design19 Questions
Exam 20: Statistical Process Control19 Questions
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If the estimate on the female variable is positive,what does this indicate about credit card usage?
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Correct Answer:
A positive estimate would indicate that females are more likely to use a credit card.
Create a pivot table that illustrates something meaningful about the variables in the accompanying table.
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Correct Answer:
The pivot table will vary.Below is an example:
Female
Sum of Amount Spent
Sum of Credit Card
0
321
2
1
1829
3
Grand Total
2150
5
Which methodology is used to group products that customers purchase together?
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A
If the regression coefficient estimate from a logistic regression is positive,the probability of the dependent variable taking on a value of 1:
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Data mining is used to examine known,expected patterns and relationships among variables.
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The higher the "score" for a particular member in logistic regression,the:
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Segmentation is also known as clustering,and involves trying to group entities into similar clusters.
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Megan is examining the likelihood of people riding the subway.The dependent variable takes on the value of 1 if the individual rides the subway and 0 otherwise.Therefore,she could use logistic regression to examine this question.
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Mya is investigating the factors that impact soda consumption.She examines a host of variables that help explain the amount consumed.Which type of data mining methodology is she most likely to use?
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Suppose the odds of Team A winning are 5 to 1.Then,the odds ratio is:
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Bridget has partitioned data into two subsets.The original file contains 300,000 observations.The subset she is currently working with has 60,000 observations.Which subset is she most likely to be using?
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In a facts table,a supermarket database is likely to have which item listed in rows?
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