Question 1

Which of the following reasons contributes to the increase in the use of data-mining techniques in business?

Accepted Answer

A) The lack of methods to electronically track data 
B) The dearth of information to analyze and interpret 
C) The ability to electronically warehouse data 
D) The ability to manually analyze all the data 
A) The lack of methods to electronically track data 
B) The dearth of information to analyze and interpret 
C) The ability to electronically warehouse data 
D) The ability to manually analyze all the data C

Question 2

Platinum Gym has 10,000 gyms members out of which 1500 memberships included Unlimited Fitness Training and use of the tanning salon, and out of which 750 included Unlimited Hydromassage. If the Fitness Training are considered A, the use of the tanning salon are considered B, and the Hydromassage are considered C, then the associate rule for these sales become "If A and B are purchased, then C is also purchased." Given total transactions for C is 3000. Calculate benchmark confidence level.

Accepted Answer

0.3

Question 3

An analysis of items frequently co-occurring in transactions is known as

Accepted Answer

A) market segmentation. 
B) market basket analysis. 
C) regression analysis. 
D) cluster analysis. 
A) market segmentation. 
B) market basket analysis. 
C) regression analysis. 
D) cluster analysis. B

Question 4

Observation refers to the

Accepted Answer

A) estimated continuous outcome variable. 
B) set of recorded values of variables associated with a single entity. 
C) goal of predicting a categorical outcome based on a set of variables. 
D) mean of all variable values associated with one particular entity. 
A) estimated continuous outcome variable. 
B) set of recorded values of variables associated with a single entity. 
C) goal of predicting a categorical outcome based on a set of variables. 
D) mean of all variable values associated with one particular entity.

Question 5

Average linkage is a measure of calculating dissimilarity between two clusters by

Accepted Answer

A) finding the distance between the two most dissimilar observations in the two clusters. 
B) computing the average distance between every pair of observations between two clusters. 
C) finding the distance between the two closest observations in the two clusters. 
D) computing the distance between the cluster centroids. 
A) finding the distance between the two most dissimilar observations in the two clusters. 
B) computing the average distance between every pair of observations between two clusters. 
C) finding the distance between the two closest observations in the two clusters. 
D) computing the distance between the cluster centroids.

Question 6

The data preparation technique used in market segmentation to divide consumers into different homogeneous groups is called

Accepted Answer

A) data visualization. 
B) cluster analysis. 
C) market analysis. 
D) supervised learning. 
A) data visualization. 
B) cluster analysis. 
C) market analysis. 
D) supervised learning.

Question 7

Single linkage can be used to measure the distance between clusters that are the _______________ in cluster analysis.​

Accepted Answer

A) ​most similar 
B) ​most different 
C) ​farthest apart 
D) ​closest 
A) ​most similar 
B) ​most different 
C) ​farthest apart 
D) ​closest

Question 8

​The goal of ___________________ is to use the variable values to identify relationships between observations.

Accepted Answer

A) ​unsupervised learning 
B) ​data mining 
C) ​McQuitty's method 
D) ​Ward's method 
A) ​unsupervised learning 
B) ​data mining 
C) ​McQuitty's method 
D) ​Ward's method

Question 9

_______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.

Accepted Answer

A) Data mining 
B) Unsupervised learning 
C) Dimension reduction 
D) Data sampling 
A) Data mining 
B) Unsupervised learning 
C) Dimension reduction 
D) Data sampling

Question 10

Suppose that the confidence of an association rule is 0.75 and the total number of transactions is 250. How many of those transactions support the consequent if the lift ratio is 1.875?

Accepted Answer

A) 100 
B) 125 
C) 150 
D) 175 
A) 100 
B) 125 
C) 150 
D) 175

Question 11

If a model's implications depend on the inclusion or exclusion of outliers, one should spend additional time to track down

Accepted Answer

A) ​the cause of the outliers. 
B) ​the missing values. 
C) a better estimation of the outliers. 
D) ​another source of data. 
A) ​the cause of the outliers. 
B) ​the missing values. 
C) a better estimation of the outliers. 
D) ​another source of data.

Question 12

Suppose the dissimilarity between clusters A and B has the value 24 and the dissimilarity between cluster B and C has the value 12. Use McQuitty's method to determine the dissimilarity of clusters A and B.

Accepted Answer

A) 12 
B) 18 
C) 24 
D) 36 
A) 12 
B) 18 
C) 24 
D) 36

Question 13

___________________uses the averaging concept of cluster centroids to define between-cluster similarity.

Accepted Answer

The answer of ___________________uses the averaging concept of cluster centroids...

Question 14

A tree diagram used to illustrate the sequence of nested clusters produced by hierarchical clustering is known as a

Accepted Answer

A) dendrogram. 
B) scatter chart. 
C) decile-wise lift chart. 
D) cumulative lift tree. 
A) dendrogram. 
B) scatter chart. 
C) decile-wise lift chart. 
D) cumulative lift tree.

Question 15

A method for modifying variables that reduces bias prior to cluster analysis is

Accepted Answer

A) ​standardization. 
B) ​weighting. 
C) ​removing outliers. 
D) ​randomizing. 
A) ​standardization. 
B) ​weighting. 
C) ​removing outliers. 
D) ​randomizing.

Question 16

Imputing values is valid only if the variable values are We may replace missing values with the variable's mode, mean, or median, but only if the variable values are

Accepted Answer

A) not missing at random (MNAR). 
B) ​missing at random (MAR). 
C) missing completely at random (MCAR). 
D) Classification and Regression Trees (CART). 
A) not missing at random (MNAR). 
B) ​missing at random (MAR). 
C) missing completely at random (MCAR). 
D) Classification and Regression Trees (CART).

Question 17

Complete linkage can be used to measure the distance between _________ in cluster analysis.​

Accepted Answer

A) ​objects 
B) ​clusters 
C) ​observations 
D) ​wards 
A) ​objects 
B) ​clusters 
C) ​observations 
D) ​wards

Question 18

Euclidean distance can be used to calculate the dissimilarity between two observations. Let u = (25, $350) correspond to a 25-year old customer that spent $350 at Store A in the previous fiscal year. Let v = (53, $420) correspond to a 53-year old customer that spent $4,100 at Store A in the previous fiscal year. Calculate the dissimilarity between these two observations using Euclidean distance.

Accepted Answer

A) 66.21 
B) 72.28 
C) 75.39 
D) 88.57 
A) 66.21 
B) 72.28 
C) 75.39 
D) 88.57

Question 19

____________________ measures cluster similarity by calculating the distance between the centroids of the two clusters.

Accepted Answer

A) Single linkage 
B) Complete linkage 
C) Average linkage 
D) Cendroid linkage 
A) Single linkage 
B) Complete linkage 
C) Average linkage 
D) Cendroid linkage

Question 20

A retailer is interested in analyzing the shopping trend of men concerning the items: Shirts, pants, Jeans, t-shirts, Shoes, and Belts. A sample of 50 male customers is selected and the data are given below.
​ \[\begin{array}{| l | l | l | l | l | l |  } 
\hline \text { t-shirt}\
\hline \text {formal shirt}&\text {formal pants}&\text {belt}\
\hline \text {formal pants}&\text { t-shirt}\
\hline\text {formal pants}&\text { formal shoes}&\text {belt}\
\hline\text {formal shirt}&\text {formal pants}&\text {jeans}&\text {t-shirt}&\text { formal shoes}&\text {belt}\
\hline\text {formal pants}&\text {formal shirt}&\text {t-shirt}&\text { formal shoes}\
\hline\text { formal shoes}&\text {formal shirt}&\text {formal pants}\
\hline \text { formal shoes}&\text {jeans}&\text {t-shirt}\
\hline\text {formal pants}&\text {t-shirt}&\text {jeans}&\text {formal shirt}&\text {belt}&\text { formal shoes}\
\hline\text {belt}&\text {jeans}\
\hline\text {formal shirt}&\text {t-shirt}&\text { formal shoes}&\text {belt}\
\hline\text {belt}&\text {formal pants}&\text {formal shirt}&\text { formal shoes}\
\hline\text { formal shoes}&\text {belt}\
\hline\text { formal shoes}&\text {formal pants}&\text {t-shirt}&\text {formal shirt}\
\hline\text {t-shirt}&\text {jeans}\
\hline\text {formal shirt}&\text {formal pants}&\text { formal shoes}&\text {jeans}\
\hline\text {jeans}&\text {belt}\
\hline\text { formal shoes}&\text {formal pants}&\text {formal shirt}&\text {t-shirt}&\text {jeans}&\text {belt}\
\hline\text {formal shirt}&\text {formal pants}&\text {t-shirt}&\text { formal shoes}&\text {belt}\
\hline\text { formal shoes}&\text {formal pants}&\text {formal shirt}&\text {belt}\
\hline\text {belt}&\text {t-shirt}&\text {jeans}&\text { formal shoes}\
\hline\text {t-shirt}&\text {formal pants}&\text {formal shirt}&\text { formal shoes}\
\hline\text {formal pants}&\text {formal shirt}&\text { formal shoes}\
\hline\text {formal pants}\
\hline\text {formal shirt}&\text { formal shoes}&\text {jeans}&\text {formal pants}\
\hline\text {belt}&\text {formal pants}&\text { formal shoes}\
\hline\text {formal shirt}&\text {t-shirt}\
\hline\text {formal pants}&\text { formal shoes}\
\hline\text { formal shoes}&\text {formal pants}&\text {jeans}&\text {formal shirt}\
\hline\text {jeans}&\text {formal pants}&\text { formal shoes}\
\hline\text {formal pants}&\text { formal shoes}&\text {belt}&\text {formal shirt}\
\hline\text { formal shoes}&\text {formal pants}&\text {formal shirt}\
\hline\text {formal pants}&\text {t-shirt}\
\hline\text { formal shoes}&\text {formal pants}&\text {belt}&\text {t-shirt}&\text {formal shirt}&\text {jeans}\
\hline\text {belt}&\text { formal shoes}&\text {formal shirt}&\text {formal pants}\
\hline\text {jeans}&\text {t-shirt}&\text {formal pants}\
\hline\text {formal shirt}&\text {formal pants}&\text {jeans}&\text {t-shirt}&\text { formal shoes}\
\hline\text {formal pants}&\text {formal shirt}&\text { formal shoes}\
\hline\text {t-shirt}&\text {jeans}&\text {formal shirt}\
\hline\text { formal shoes}&\text {formal pants}&\text {belt}\
\hline\text {belt}&\text { formal shoes}&\text {formal pants}&\text {formal shirt}\
\hline\text {formal pants}&\text {formal shirt}&\text { formal shoes}&\text {t-shirt}&\text {belt}\
\hline\text { formal shoes}&\text {t-shirt}\
\hline\text {jeans}&\text { formal shoes}&\text {belt}&\text {formal shirt}\
\hline\text {formal pants}&\text { formal shoes}&\text {t-shirt}&\text {formal shirt}\
\hline\text {belt}&\text {formal pants}&\text {jeans}\
\hline\text {formal shirt}&\text {jeans}&\text {t-shirt}&\text {belt}\
\hline
\hline
\end{array}\]

a. Using a minimum support of 20 transactions and a minimum confidence of 50 percent, use XLMiner to generate a
list of association rules. How many rules satisfy this criterion?
b. Using the list of rules from part a, consider the rule with the largest lift ratio. Interpret what this rule is saying
about the relationship between the antecedent item set and consequent item set.
c. Interpret the support count of the item set composed of the all the items involved in the rule with the largest
lift ratio.
d. Interpret the confidence of the rule with the largest lift ratio.
e. Interpret the lift ratio of the rule with the largest lift ratio.

Accepted Answer

​
a. 14 rules have a support count of at

Which of the following reasons contributes to the increase in the use of data-mining techniques in business?

An analysis of items frequently co-occurring in transactions is known as

Observation refers to the

Average linkage is a measure of calculating dissimilarity between two clusters by

The data preparation technique used in market segmentation to divide consumers into different homogeneous groups is called

Single linkage can be used to measure the distance between clusters that are the _______________ in cluster analysis.

The goal of ___________________ is to use the variable values to identify relationships between observations.

_______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.

Suppose that the confidence of an association rule is 0.75 and the total number of transactions is 250. How many of those transactions support the consequent if the lift ratio is 1.875?

If a model's implications depend on the inclusion or exclusion of outliers, one should spend additional time to track down

Suppose the dissimilarity between clusters A and B has the value 24 and the dissimilarity between cluster B and C has the value 12. Use McQuitty's method to determine the dissimilarity of clusters A and B.

___________________uses the averaging concept of cluster centroids to define between-cluster similarity.

A tree diagram used to illustrate the sequence of nested clusters produced by hierarchical clustering is known as a

A method for modifying variables that reduces bias prior to cluster analysis is

Imputing values is valid only if the variable values are We may replace missing values with the variable's mode, mean, or median, but only if the variable values are

Complete linkage can be used to measure the distance between _________ in cluster analysis.

____________________ measures cluster similarity by calculating the distance between the centroids of the two clusters.

Introduction

Descriptive Statistics

Data Visualization

Probability: an Introduction to Modeling Uncertainty

Statistical Inference

Linear Regression

Time Series Analysis and Forecasting

Predictive Data Mining

Spreadsheet Models

Linear Optimization Models

Integer Linear Optimization Models

Nonlinear Optimization Models

Monte Carlo Simulation

Decision Analysis

Filters

Exam 4: Descriptive Data Mining

Which of the following reasons contributes to the increase in the use of data-mining techniques in business?

An analysis of items frequently co-occurring in transactions is known as

Observation refers to the

Average linkage is a measure of calculating dissimilarity between two clusters by

The data preparation technique used in market segmentation to divide consumers into different homogeneous groups is called

Single linkage can be used to measure the distance between clusters that are the _______________ in cluster analysis.​

​The goal of ___________________ is to use the variable values to identify relationships between observations.

_______________ approaches are designed to describe patterns and relationships in large data sets with many observations of many variables.

Suppose that the confidence of an association rule is 0.75 and the total number of transactions is 250. How many of those transactions support the consequent if the lift ratio is 1.875?

If a model's implications depend on the inclusion or exclusion of outliers, one should spend additional time to track down

Suppose the dissimilarity between clusters A and B has the value 24 and the dissimilarity between cluster B and C has the value 12. Use McQuitty's method to determine the dissimilarity of clusters A and B.

___________________uses the averaging concept of cluster centroids to define between-cluster similarity.

A tree diagram used to illustrate the sequence of nested clusters produced by hierarchical clustering is known as a

A method for modifying variables that reduces bias prior to cluster analysis is

Imputing values is valid only if the variable values are We may replace missing values with the variable's mode, mean, or median, but only if the variable values are

Complete linkage can be used to measure the distance between _________ in cluster analysis.​

____________________ measures cluster similarity by calculating the distance between the centroids of the two clusters.

Introduction

Descriptive Statistics

Data Visualization

Probability: an Introduction to Modeling Uncertainty

Statistical Inference

Linear Regression

Time Series Analysis and Forecasting

Predictive Data Mining

Spreadsheet Models

Linear Optimization Models

Integer Linear Optimization Models

Nonlinear Optimization Models

Monte Carlo Simulation

Decision Analysis

Filters

Single linkage can be used to measure the distance between clusters that are the _______________ in cluster analysis.

The goal of ___________________ is to use the variable values to identify relationships between observations.

Complete linkage can be used to measure the distance between _________ in cluster analysis.