Question 1

A ______________ provides a visual summary of the improvements that a data mining project provides on a binary classification problem compared to a random guess

Accepted Answer

A)  lift chart 
B)  Pareto chart 
C)  Gantt chart 
D)  histogram 
A)  lift chart 
B)  Pareto chart 
C)  Gantt chart 
D)  histogram

Question 2

Exhibit 10.3
The information below is used for the following questions.
A loan officer wants to determine if people will be late in making loan payments. She has information of 18 current loans including the applicants income, level of assets and whether or not the person has been late on payments. She has performed an analysis on the data and obtained the output shown below.   ​   ​   ​   ​   ​   ​   ​
-Refer to Exhibit 10.3. Compute the discriminant score and predicted group for someone with an income of 65 and assets of 11.

Accepted Answer

DISCRIMINA

Question 3

Suppose that a data set contains a variable EDUCATION, which has 7 discrete levels. EDUCATION can be represented by ____ binary variables

Accepted Answer

A)  6 
B)  7 
C)  8 
D)  9 
A)  6 
B)  7 
C)  8 
D)  9

Question 4

The k-means clustering algorithm is available

Accepted Answer

A)  in XLMiner Excel add-in 
B)  as a regression option in Excel 
C)  as ANOVA option in Excel 
D)  as one of the options under non-parametric statistics in Excel 
A)  in XLMiner Excel add-in 
B)  as a regression option in Excel 
C)  as ANOVA option in Excel 
D)  as one of the options under non-parametric statistics in Excel

Question 5

Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2).   ​   ​   ​   ​  
-Refer to Exhibit 10.1. What is the straight line distance between (6,4) and (2,9)?

Accepted Answer

A)  3.20 
B)  6.40 
C)  9 
D)  41 
A)  3.20 
B)  6.40 
C)  9 
D)  41

Question 6

In hierarchical clustering, the measure of similarity between clusters is/are

Accepted Answer

A)  single linkage 
B)  average linkage 
C)  average group linkage 
D)  all of the above 
A)  single linkage 
B)  average linkage 
C)  average group linkage 
D)  all of the above

Question 7

Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2).   ​   ​   ​   ​  
-Refer to Exhibit 10.1. What percentage of the observations is classified correctly?

Accepted Answer

A)  90% 
B)  80% 
C)  85% 
D)  100% 
A)  90% 
B)  80% 
C)  85% 
D)  100%

Question 8

Two approaches to clustering discussed in the text are

Accepted Answer

A)  k-means clustering and hierarchical clustering 
B)  intuitive clustering and methodical clustering 
C)  MIPS clustering and pixel clustering 
D)  centroid clustering and VMI 
A)  k-means clustering and hierarchical clustering 
B)  intuitive clustering and methodical clustering 
C)  MIPS clustering and pixel clustering 
D)  centroid clustering and VMI

Question 9

___________ and _________ must be chosen each time a partition is subdivided

Accepted Answer

A)  an independent variable and splitting value 
B)  a dependent variable and cutoff value 
C)  a significance level and an upper bound 
D)  a significance level and a lower bound 
A)  an independent variable and splitting value 
B)  a dependent variable and cutoff value 
C)  a significance level and an upper bound 
D)  a significance level and a lower bound

Question 10

A major challenge in affinity analysis is to

Accepted Answer

A)  identify the most meaningful rules used to determine what goes with what 
B)  the conditional probabilities 
C)  the posterior probabilities 
D)  the probabilities of states of nature 
A)  identify the most meaningful rules used to determine what goes with what 
B)  the conditional probabilities 
C)  the posterior probabilities 
D)  the probabilities of states of nature

Question 11

In discriminant analysis the averages for the independent variables for a group define the

Accepted Answer

A)  centroid. 
B)  median. 
C)  mode. 
D)  central tendency. 
A)  centroid. 
B)  median. 
C)  mode. 
D)  central tendency.

Question 12

Technique(s) used in prediction step of data mining include

Accepted Answer

A)  regression analysis 
B)  the k'th largest neighbor technique 
C)  neural networks 
D)  all of the above 
A)  regression analysis 
B)  the k'th largest neighbor technique 
C)  neural networks 
D)  all of the above

Question 13

Exhibit 10.2
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful (Group 1), marginally successful (Group 2) or not-successful (Group 3) in their graduate studies. The officer has data on 20 current students, 7 successful (Group 1), 6 marginally successful (Group 2) and 7 not successful (Group 3).   ​   ​   ​   ​  
-Refer to Exhibit 10.2. What is the verbal test score value of the group centroid for group 3?

Accepted Answer

A)  697.71 
B)  647.86 
C)  587.67 
D)  605.17 
A)  697.71 
B)  647.86 
C)  587.67 
D)  605.17

Question 14

Exhibit 10.2
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful (Group 1), marginally successful (Group 2) or not-successful (Group 3) in their graduate studies. The officer has data on 20 current students, 7 successful (Group 1), 6 marginally successful (Group 2) and 7 not successful (Group 3).   ​   ​   ​   ​  
-Refer to Exhibit 10.2. What is the verbal test score value of the group centroid for group 1?

Accepted Answer

A)  697.71 
B)  647.86 
C)  587.67 
D)  650.43 
A)  697.71 
B)  647.86 
C)  587.67 
D)  650.43

Question 15

The k-nearest neighbor (k-NN) technique identifies the k observations in the training data that are most similar (or nearest) to a new observation we want to classify.

Accepted Answer

A) True 
 B)False

Question 16

In preparation for mining an analyst should

Accepted Answer

A)  explore the relationships between variables 
B)  verify completeness and accuracy of the data 
C)  clean the data addressing missing values, errors, etc. 
D)  all of the above 
A)  explore the relationships between variables 
B)  verify completeness and accuracy of the data 
C)  clean the data addressing missing values, errors, etc. 
D)  all of the above

Question 17

Plots useful in data mining analysis can be accessed in Excel using the _______ add-in

Accepted Answer

A)  XLMiner 
B)  Charts 
C)  Data Analysis 
D)  Visual Basic 
A)  XLMiner 
B)  Charts 
C)  Data Analysis 
D)  Visual Basic

Question 18

The objective of classification tree algorithms is to

Accepted Answer

A)  minimize the average weighted impurity of the resulting partitions 
B)  maximize the average weighted impurity of the resulting partitions 
C)  maximize the average weighted purity of the resulting partitions 
D)  maximize the likelihood estimator of the resulting partitions 
A)  minimize the average weighted impurity of the resulting partitions 
B)  maximize the average weighted impurity of the resulting partitions 
C)  maximize the average weighted purity of the resulting partitions 
D)  maximize the likelihood estimator of the resulting partitions

Question 19

Exhibit 10.1
The following questions are based on the problem description and the output below.
A college admissions officer wants to evaluate graduate school applicants based on their GMAT scores, verbal and quantitative. Students are classified as either successful or not-successful in their graduate studies. The officer has data on 20 current students, ten of whom are doing very well (Group 1) and ten who are not (Group 2).   ​   ​   ​   ​  
-Refer to Exhibit 10.1. What is the verbal test score value of the group centroid for group 2?

Accepted Answer

A)  683.8 
B)  654.2 
C)  610.7 
D)  605.7 
A)  683.8 
B)  654.2 
C)  610.7 
D)  605.7

Question 20

In hierarchical clustering, the measure of similarity between clusters is/are

Accepted Answer

A)  single linkage 
B)  complete linkage 
C)  Ward's method 
D)  all of the above 
A)  single linkage 
B)  complete linkage 
C)  Ward's method 
D)  all of the above

A ______________ provides a visual summary of the improvements that a data mining project provides on a binary classification problem compared to a random guess

Suppose that a data set contains a variable EDUCATION, which has 7 discrete levels. EDUCATION can be represented by ____ binary variables

The k-means clustering algorithm is available

In hierarchical clustering, the measure of similarity between clusters is/are

Two approaches to clustering discussed in the text are

___ and _ must be chosen each time a partition is subdivided

A major challenge in affinity analysis is to

In discriminant analysis the averages for the independent variables for a group define the

Technique(s) used in prediction step of data mining include

The k-nearest neighbor (k-NN) technique identifies the k observations in the training data that are most similar (or nearest) to a new observation we want to classify.

In preparation for mining an analyst should

Plots useful in data mining analysis can be accessed in Excel using the _______ add-in

The objective of classification tree algorithms is to

In hierarchical clustering, the measure of similarity between clusters is/are

Introduction to Modeling and Decision Analysis

Introduction to Optimization and Linear Programming

Modeling and Solving Lp Problems in a Spreadsheet

Sensitivity Analysis and the Simplex Method

Network Modeling

Integer Linear Programming

Goal Programming and Multiple Objective Optimization

Nonlinear Programming Evolutionary Optimization

Regression Analysis

Time Series Forecasting

Introduction to Simulation Using Analytic Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

Exam 10: Data Mining

A ______________ provides a visual summary of the improvements that a data mining project provides on a binary classification problem compared to a random guess

Suppose that a data set contains a variable EDUCATION, which has 7 discrete levels. EDUCATION can be represented by ____ binary variables

The k-means clustering algorithm is available

In hierarchical clustering, the measure of similarity between clusters is/are

Two approaches to clustering discussed in the text are

___________ and _________ must be chosen each time a partition is subdivided

A major challenge in affinity analysis is to

In discriminant analysis the averages for the independent variables for a group define the

Technique(s) used in prediction step of data mining include

The k-nearest neighbor (k-NN) technique identifies the k observations in the training data that are most similar (or nearest) to a new observation we want to classify.

In preparation for mining an analyst should

Plots useful in data mining analysis can be accessed in Excel using the _______ add-in

The objective of classification tree algorithms is to

In hierarchical clustering, the measure of similarity between clusters is/are

Introduction to Modeling and Decision Analysis

Introduction to Optimization and Linear Programming

Modeling and Solving Lp Problems in a Spreadsheet

Sensitivity Analysis and the Simplex Method

Network Modeling

Integer Linear Programming

Goal Programming and Multiple Objective Optimization

Nonlinear Programming Evolutionary Optimization

Regression Analysis

Time Series Forecasting

Introduction to Simulation Using Analytic Solver Platform

Queuing Theory

Decision Analysis

Project Management Online

Filters

___ and _ must be chosen each time a partition is subdivided