Question 1

Which chart is a bar chart displayed in 10 equal-sized intervals, or every 10% of the observations?

Accepted Answer

A)  ROC Curve 
B)  Cumulative Lift Chart 
C)  Decile-wise Lift Chart 
D)  Sensitivity Measure 
A)  ROC Curve 
B)  Cumulative Lift Chart 
C)  Decile-wise Lift Chart 
D)  Sensitivity Measure

Question 2

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 3.60 and 1.70, respectively. What is the z-score of x 1 for Observation 1?

Accepted Answer

A)  0.42 
B)  0.41 
C)  0.97 
D)  0.45 
A)  0.42 
B)  0.41 
C)  0.97 
D)  0.45

Question 3

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 1.9, respectively. The mean and standard deviation for x 2 are 6.2 and 4.8, respectively. Compute the first principal component score for Observation 1.

Accepted Answer

A)  -0.533 
B)  -0.084 
C)  0.740 
D)  0.403 
A)  -0.533 
B)  -0.084 
C)  0.740 
D)  0.403

Question 4

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.

Accepted Answer

A)  1 
B)  6417 
C)  0 
D)  0.6997 
A)  1 
B)  6417 
C)  0 
D)  0.6997

Question 5

Consider the partial data set in the table represents online hours spent shopping by age and income. The average and standard deviation for the full data set is $47,667 and $14,292, respectively. Using z-scores to standardize the observations, what is the average standard deviation of Income for the three provided?

Accepted Answer

A)  1.003 
B)  0.7320 
C)  0.2410 
D)  0.6997 
A)  1.003 
B)  0.7320 
C)  0.2410 
D)  0.6997

Question 6

Cross-Industry Standard Process for Data Mining (CRISP-DM) consists of six phases. Of the six, which one represents the phase where data wrangling occurs?

Accepted Answer

A)  Deployment 
B)  Modeling 
C)  Data understanding 
D)  Data preparation 
A)  Deployment 
B)  Modeling 
C)  Data understanding 
D)  Data preparation

Question 7

When a predictive model is made overly complex to fit in the quirks of given sample data, it is called ______.

Accepted Answer

A)  oversampling 
B)  overfitting 
C)  partitioning 
D)  distribution 
A)  oversampling 
B)  overfitting 
C)  partitioning 
D)  distribution

Question 8

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

Accepted Answer

A)  Observations 1 & 3 
B)  Observations 2 & 3 and 1 & 3 
C)  Observations 2 & 3 
D)  Observations 1 & 2 and 2 & 3 
A)  Observations 1 & 3 
B)  Observations 2 & 3 and 1 & 3 
C)  Observations 2 & 3 
D)  Observations 1 & 2 and 2 & 3

Question 9

The process of applying a set of analytical techniques for the development of machine learning and artificial intelligence is called data mining.

Accepted Answer

A) True 
 B)False

Question 10

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

Accepted Answer

A)  Observations 1 & 3 
B)  Observations 2 & 3 and 1 & 3 
C)  Observations 2 & 3 
D)  Observations 1 & 2 and 2 & 3 
A)  Observations 1 & 3 
B)  Observations 2 & 3 and 1 & 3 
C)  Observations 2 & 3 
D)  Observations 1 & 2 and 2 & 3

Question 11

A diagram that represents the information in equal-sized intervals, deciles, is called a cumulative lift chart.

Accepted Answer

A) True 
 B)False

Question 12

Common applications of unsupervised learning include dimension reduction and prediction model.

Accepted Answer

A) True 
 B)False

Question 13

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?

Accepted Answer

A)  29 
B)  11 
C)  18 
D)  60 
A)  29 
B)  11 
C)  18 
D)  60

Question 14

When using PCA, all the following are disadvantages except

Accepted Answer

A)  PCA results are difficult to interpret clearly. 
B)  components are weighted linear combinations and abstract. 
C)  PCA only works with numerical data. 
D)  PCA significantly increases the dimension of the data. 
A)  PCA results are difficult to interpret clearly. 
B)  components are weighted linear combinations and abstract. 
C)  PCA only works with numerical data. 
D)  PCA significantly increases the dimension of the data.

Question 15

Calculate the misclassification rate for the following confusion matrix.

Accepted Answer

A)  0.72 
B)  0.22 
C)  0.78 
D)  0.28 
A)  0.72 
B)  0.22 
C)  0.78 
D)  0.28

Question 16

Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group A is 108 with a standard deviation of 8. What is the z-score for someone with an IQ of 112?

Accepted Answer

A)  -0.50 
B)  0.50 
C)  -0.30 
D)  1.30 
A)  -0.50 
B)  0.50 
C)  -0.30 
D)  1.30

Question 17

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.

Accepted Answer

A)  72% 
B)  88% 
C)  84% 
D)  84.4% 
A)  72% 
B)  88% 
C)  84% 
D)  84.4%

Question 18

The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x1 are 4.2 and 1.4, respectively. What is the z-score of x 1 for Observation 1?

Accepted Answer

A)  0.18 
B)  0.17 
C)  0.73 
D)  0.21 
A)  0.18 
B)  0.17 
C)  0.73 
D)  0.21

Question 19

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 False Negative (FN) of current clients who provided referrals for a free message?

Accepted Answer

A)  29 
B)  18 
C)  11 
D)  60 
A)  29 
B)  18 
C)  11 
D)  60

Question 20

Oversampling involves intentionally selecting more samples from one class than from other classes to adjust the class distribution of a data set.

Accepted Answer

A) True 
 B)False

Which chart is a bar chart displayed in 10 equal-sized intervals, or every 10% of the observations?

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 3.60 and 1.70, respectively. What is the z-score of x ₁ for Observation 1?

Cross-Industry Standard Process for Data Mining (CRISP-DM) consists of six phases. Of the six, which one represents the phase where data wrangling occurs?

When a predictive model is made overly complex to fit in the quirks of given sample data, it is called ______.

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

The process of applying a set of analytical techniques for the development of machine learning and artificial intelligence is called data mining.

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

A diagram that represents the information in equal-sized intervals, deciles, is called a cumulative lift chart.

Common applications of unsupervised learning include dimension reduction and prediction model.

When using PCA, all the following are disadvantages except

Calculate the misclassification rate for the following confusion matrix.

Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group A is 108 with a standard deviation of 8. What is the z-score for someone with an IQ of 112?

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.

The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x₁ are 4.2 and 1.4, respectively. What is the z-score of x ₁ for Observation 1?

Oversampling involves intentionally selecting more samples from one class than from other classes to adjust the class distribution of a data set.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Regression Analysis

Advanced Regression Analysis

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Supervised Data Mining: Decision Trees

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

Filters

Exam 8: Introduction to Data Mining

Which chart is a bar chart displayed in 10 equal-sized intervals, or every 10% of the observations?

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 3.60 and 1.70, respectively. What is the z-score of x 1 for Observation 1?

Cross-Industry Standard Process for Data Mining (CRISP-DM) consists of six phases. Of the six, which one represents the phase where data wrangling occurs?

When a predictive model is made overly complex to fit in the quirks of given sample data, it is called ______.

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

The process of applying a set of analytical techniques for the development of machine learning and artificial intelligence is called data mining.

Using the Euclidean distance between pairwise observations, which pairwise observation is most dissimilar?

A diagram that represents the information in equal-sized intervals, deciles, is called a cumulative lift chart.

Common applications of unsupervised learning include dimension reduction and prediction model.

When using PCA, all the following are disadvantages except

Calculate the misclassification rate for the following confusion matrix.

Cameron is performing a study on the IQ of groups in various areas. He has calculated that the average IQ of Group A is 108 with a standard deviation of 8. What is the z-score for someone with an IQ of 112?

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.

The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x1 are 4.2 and 1.4, respectively. What is the z-score of x 1 for Observation 1?

Oversampling involves intentionally selecting more samples from one class than from other classes to adjust the class distribution of a data set.

Introduction to Business Analytics

Data Management and Wrangling

Data Visualization and Summary Measures

Probability and Probability Distributions

Statistical Inference

Regression Analysis

Advanced Regression Analysis

Supervised Data Mining: K-Nearest Neighbors and Naãve Bayes

Supervised Data Mining: Decision Trees

Unsupervised Data Mining

Forecasting With Time Series Data

Introduction to Prescriptive Analytics

Filters

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 3.60 and 1.70, respectively. What is the z-score of x ₁ for Observation 1?

The following table displays the weights for computing the principal components and the data for two Observations. The mean and standard deviation for x₁ are 4.2 and 1.4, respectively. What is the z-score of x ₁ for Observation 1?