Exam 8: Introduction to Data Mining
Exam 1: Introduction to Business Analytics44 Questions
Exam 2: Data Management and Wrangling46 Questions
Exam 3: Data Visualization and Summary Measures52 Questions
Exam 4: Probability and Probability Distributions50 Questions
Exam 5: Statistical Inference53 Questions
Exam 6: Regression Analysis53 Questions
Exam 7: Advanced Regression Analysis52 Questions
Exam 8: Introduction to Data Mining54 Questions
Exam 9: Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes54 Questions
Exam 10: Supervised Data Mining: Decision Trees51 Questions
Exam 11: Unsupervised Data Mining53 Questions
Exam 12: Forecasting With Time Series Data53 Questions
Exam 13: Introduction to Prescriptive Analytics49 Questions
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Based on the following confusion matrix with a validation set of 100, class 1 reflects the members targeted who purchased services and class 0 reflects the non-targeted respondents who did not purchase services. Calculate the specificity rate. 

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(Multiple Choice)
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Correct Answer:
D
Normalization is the process that makes the numerical data independent of scale.
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True
Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group B is 118 with a standard deviation of 12. What is the z-score for someone with an IQ of 125?
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(Multiple Choice)
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Correct Answer:
D
In Excel, Analytic Solver only provides the covariance matrix for performing principal component analysis (PCA).
(True/False)
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Consider the partial data set in the table represents online hours spent shopping by age and income. Using the min-max transformation to normalize Income, what is the average standard deviation of Income for the chart provided?
Use the min-max transformation to normalize the observations for Income spent online.


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The calculated average error measuring the average magnitude of errors in predictive performance measures is called _______.
(Multiple Choice)
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The principal component analysis (PCA) is a dimension reduction technique used to reduce variables without removing variables.
(True/False)
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Molly e-mailed her clients offering a free 30-minute massage for referrals. In the following validation set of 100, Class 1 reflects the clients predicted to provide referrals and Class 0 reflects the clients predicted to not provide referrals.
-Based on the confusion matrix, what was the True Positive (TP) of current clients who provided referrals for a free massage? 

(Multiple Choice)
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Based on the following confusion matrix with a validation set of 100, Class 1 reflects the members targeted who purchased services and Class 0 reflects the non-targeted respondents who did not purchase services. Calculate the sensitivity rate. 

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The sensitivity, also called recall, is computed using which equation?
(Multiple Choice)
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Using the Manhattan distance between pairwise observations, which pairwise observation is most similar? 

(Multiple Choice)
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The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x 1 are 4.2 and 1.4, respectively. The mean and standard deviation for x 2 are 6.8 and 4.8, respectively. Compute the first principal component score for Observation 1. 

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The Jaccard's coefficient is appropriate when it is more informative to match negative outcomes between observations.
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In real-world situations, data sets contain many variables. If some variables are eliminated, valuable information may be lost.
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The following table is a segment of Loan Data from a bank for car loans. Compute the matching coefficient between Pairs 1 and 4. 

(Multiple Choice)
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Sandra began collecting transaction details to see if the same items were in each sales transaction. Compute the matching coefficient and Jaccard's coefficient for pairwise transaction 1 & 2. 

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Using the Manhattan distance between pairwise observations, which pairwise observation is most similar? 

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Calculate the misclassification rate for the following confusion matrix. 

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Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group A is 105 with a standard deviation of 10. What is the z-score for someone with an IQ of 98?
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Which chart allows for a visual representation to determine a point where a model's predictions become less useful?
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