Question 1

is a data-mining technique used for classifying a set of observations into predefined classes.

Accepted Answer

A)  Logistic regression 
B)  k-Nearest Neighbors algorithm 
C)  Discriminant analysis 
D)  Linear regression 
A)  Logistic regression 
B)  k-Nearest Neighbors algorithm 
C)  Discriminant analysis 
D)  Linear regression C

Question 2

Expected confidence assumes independence between the consequent and the antecedent.

Accepted Answer

A) True 
 B)False  True

Question 3

Which of the following is true of hierarchical clustering?

Accepted Answer

A)  All clusters must have the same number of data. 
B)  No single cluster can have all objects 
C)  The data are not partitioned into a particular cluster in a single step. 
D)  All clusters must have more than one object in it. 
A)  All clusters must have the same number of data. 
B)  No single cluster can have all objects 
C)  The data are not partitioned into a particular cluster in a single step. 
D)  All clusters must have more than one object in it. C

Question 4

The market share of a business would be considered a lagging measure in the cause-and- effect modeling of data mining.

Accepted Answer

A) True 
 B)False

Question 5

Logistic regression is different from discriminant analysis in that logistic regression .

Accepted Answer

A)  does not predict the weights 
B)  sets observation into predefined classes 
C)  does not depend on assumptions 
D)  depends on assumptions such as normalization of independent variables 
A)  does not predict the weights 
B)  sets observation into predefined classes 
C)  does not depend on assumptions 
D)  depends on assumptions such as normalization of independent variables

Question 6

Logistic regression cannot be employed when the dependent variable is binary.

Accepted Answer

A) True 
 B)False

Question 7

Which of the following is true of logistic regression as a classifying method?

Accepted Answer

A)  Its dependent variable is always categorical. 
B)  Its independent variable is always continuous or numerical. 
C)  It predicts the probability of output variables based on dependent variables. 
D)  It cannot be used when the dependent variable is binary. 
A)  Its dependent variable is always categorical. 
B)  Its independent variable is always continuous or numerical. 
C)  It predicts the probability of output variables based on dependent variables. 
D)  It cannot be used when the dependent variable is binary.

Question 8

Which of the following features of classification, used in Excel, for a particular database will necessarily be coded to a certain value?

Accepted Answer

A)  categorical variables 
B)  non-numerical variables 
C)  predictor variables 
D)  numerical variables 
A)  categorical variables 
B)  non-numerical variables 
C)  predictor variables 
D)  numerical variables

Question 9

Which of the following formulas calculates the Euclidean distance between X and Y?

Accepted Answer

A)  $ \sqrt{\left(x_{1}-x_{2}\right)^{2}+\left(x_{2}-\gamma_{2}\right)^{2}+\ldots+\left(x_{n}-\gamma_{n}\right)^{2}} $ 
B)  $ \sqrt{\left(x_{1}+\gamma_{1}\right)+\left(x_{2}+\gamma_{2}\right)+\ldots+\left(x_{n}+\gamma_{n}\right)} $ 
C)  $ \sqrt{\left(x_{1}-\gamma_{1}\right)^{2}+\left(x_{2}-\gamma_{2}\right)^{2}+\ldots+\left(x_{n}-\gamma_{n}\right)^{2}} $ 
D)  $ \sqrt{\left(x_{n}-\gamma_{n}\right)^{2}} $ 
A)  $ \sqrt{\left(x_{1}-x_{2}\right)^{2}+\left(x_{2}-\gamma_{2}\right)^{2}+\ldots+\left(x_{n}-\gamma_{n}\right)^{2}} $ 
B)  $ \sqrt{\left(x_{1}+\gamma_{1}\right)+\left(x_{2}+\gamma_{2}\right)+\ldots+\left(x_{n}+\gamma_{n}\right)} $ 
C)  $ \sqrt{\left(x_{1}-\gamma_{1}\right)^{2}+\left(x_{2}-\gamma_{2}\right)^{2}+\ldots+\left(x_{n}-\gamma_{n}\right)^{2}} $ 
D)  $ \sqrt{\left(x_{n}-\gamma_{n}\right)^{2}} $

Question 10

When using logistic regression, where p being the probability that the dependent variable Y = 1, X1, X2 ..., Xk are the independent variables, and β0, β1, β2 ..., βk are unknown regression coefficients, is called the odds of belonging to category 1(Y = 1).

Accepted Answer

A)  $ p\left(\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}\right) $ 
B)  $ \frac{p}{1+k_{k}-\beta 0+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}} $ 
C)  $ \frac{p}{1-p} $
$ \Sigma \beta_{i} X_{i} $ 
D)  $ \frac{i=1}{p} $ 
A)  $ p\left(\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}\right) $ 
B)  $ \frac{p}{1+k_{k}-\beta 0+\beta_{1} X_{1}+\beta_{2} X_{2}+\ldots+\beta_{k} X_{k}} $ 
C)  $ \frac{p}{1-p} $
$ \Sigma \beta_{i} X_{i} $ 
D)  $ \frac{i=1}{p} $

Question 11

Which of the following data sets provides the most realistic estimate of the performance of a model on completely unseen data?

Accepted Answer

A)  validation data set 
B)  test data set 
C)  training data set 
D)  linear regression data set 
A)  validation data set 
B)  test data set 
C)  training data set 
D)  linear regression data set

Question 12

Validation data sets differ from training data sets in that validation data sets .

Accepted Answer

A)  have known outcomes 
B)  test a model with unseen data 
C)  are used to teach data-mining algorithms 
D)  provide the most realistic test for models with known data 
A)  have known outcomes 
B)  test a model with unseen data 
C)  are used to teach data-mining algorithms 
D)  provide the most realistic test for models with known data

Question 13

In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.

Accepted Answer

A) True 
 B)False

Question 14

How is the strength of an association measured?

Accepted Answer

To measure the strength of association,

Question 15

Which of the following uses the sum of squares between the objects in the cluster when measuring their distances?

Accepted Answer

A)  divisive clustering 
B)  average group linkage clustering 
C)  Ward's hierarchical clustering 
D)  single linkage clustering 
A)  divisive clustering 
B)  average group linkage clustering 
C)  Ward's hierarchical clustering 
D)  single linkage clustering

Question 16

The accuracy of the model on the test data gives a realistic estimate of the performance of the model on completely unseen data.

Accepted Answer

A) True 
 B)False

Question 17

A musical instruments retailer has 10,000 point-of-sale transactions out of which 1500 sales included both items of electric guitars and guitar cases, and out of which 750 had sales of new strings. If the electric guitars are considered A, the guitar cases are considered B, and the strings are considered C, then the associate rule for these sales become "If A and B are purchased, then C is also purchased." Calculate the confidence level, expected confidence level, and lift for this rule, given that total transactions for C is 3000.

Accepted Answer

Total sales = 10,000 Sales of A and B =

Question 18

How are objects clustered in agglomerative hierarchical clustering?

Accepted Answer

An agglomerative hierarchical clustering

Question 19

Sendstars is a package delivering company that recently made a study on its customer retention and service renewal metrics. They found that most customers defected from using Sendstars' services due to customer dissatisfaction stemming from delivery personnel being rude or ill-mannered. To curb this issue, Sendstars gave special training to its employees in customer service. Which of the following data mining approaches did Sendstars employ when they decided to train their employees in customer care based on the study?

Accepted Answer

A)  association 
B)  cause-and-effect modeling 
C)  classification 
D)  reduction 
A)  association 
B)  cause-and-effect modeling 
C)  classification 
D)  reduction

Question 20

Which of the following typically describes the support for the association rule?

Accepted Answer

A)  the number of transactions that include all items that are in the antecedent parts of the rule 
B)  the number of transactions that include all items in the antecedent and consequent parts of the rule 
C)  the number of transactions that include half from the antecedent and half from the consequent 
D)  the number of transactions that include all items that are in the consequent parts of the rule 
A)  the number of transactions that include all items that are in the antecedent parts of the rule 
B)  the number of transactions that include all items in the antecedent and consequent parts of the rule 
C)  the number of transactions that include half from the antecedent and half from the consequent 
D)  the number of transactions that include all items that are in the consequent parts of the rule

is a data-mining technique used for classifying a set of observations into predefined classes.

Expected confidence assumes independence between the consequent and the antecedent.

Which of the following is true of hierarchical clustering?

The market share of a business would be considered a lagging measure in the cause-and- effect modeling of data mining.

Logistic regression is different from discriminant analysis in that logistic regression .

Logistic regression cannot be employed when the dependent variable is binary.

Which of the following is true of logistic regression as a classifying method?

Which of the following features of classification, used in Excel, for a particular database will necessarily be coded to a certain value?

Which of the following formulas calculates the Euclidean distance between X and Y?

When using logistic regression, where p being the probability that the dependent variable Y = 1, X1, X2 ..., Xk are the independent variables, and β0, β1, β2 ..., βk are unknown regression coefficients, is called the odds of belonging to category 1(Y = 1).

Which of the following data sets provides the most realistic estimate of the performance of a model on completely unseen data?

Validation data sets differ from training data sets in that validation data sets .

In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.

How is the strength of an association measured?

Which of the following uses the sum of squares between the objects in the cluster when measuring their distances?

The accuracy of the model on the test data gives a realistic estimate of the performance of the model on completely unseen data.

How are objects clustered in agglomerative hierarchical clustering?

Which of the following typically describes the support for the association rule?

Business Analytics

Analytics on Spreadsheets

Visualizing and Exploring Data

Descriptive Statistical Measures

Probability Distributions and Data Modeling

Sampling and Estimation

Statistical Inference

Trendlines and Regression Analysis

Forecasting Techniques

Spreadsheet Modeling and Analysis

Monte Carlo Simulation and Risk Analysis

Linear Optimization

Applications of Linear Optimization

Integer Optimization

Decision Analysis

Filters

Exam 10: Introduction to Data Mining

is a data-mining technique used for classifying a set of observations into predefined classes.

Expected confidence assumes independence between the consequent and the antecedent.

Which of the following is true of hierarchical clustering?

The market share of a business would be considered a lagging measure in the cause-and- effect modeling of data mining.

Logistic regression is different from discriminant analysis in that logistic regression .

Logistic regression cannot be employed when the dependent variable is binary.

Which of the following is true of logistic regression as a classifying method?

Which of the following features of classification, used in Excel, for a particular database will necessarily be coded to a certain value?

Which of the following formulas calculates the Euclidean distance between X and Y?

When using logistic regression, where p being the probability that the dependent variable Y = 1, X1, X2 ..., Xk are the independent variables, and β0, β1, β2 ..., βk are unknown regression coefficients, is called the odds of belonging to category 1(Y = 1).

Which of the following data sets provides the most realistic estimate of the performance of a model on completely unseen data?

Validation data sets differ from training data sets in that validation data sets .

In cluster analysis, the objects within clusters should exhibit a high amount of dissimilarity.

How is the strength of an association measured?

Which of the following uses the sum of squares between the objects in the cluster when measuring their distances?

The accuracy of the model on the test data gives a realistic estimate of the performance of the model on completely unseen data.

How are objects clustered in agglomerative hierarchical clustering?

Which of the following typically describes the support for the association rule?

Business Analytics

Analytics on Spreadsheets

Visualizing and Exploring Data

Descriptive Statistical Measures

Probability Distributions and Data Modeling

Sampling and Estimation

Statistical Inference

Trendlines and Regression Analysis

Forecasting Techniques

Spreadsheet Modeling and Analysis

Monte Carlo Simulation and Risk Analysis

Linear Optimization

Applications of Linear Optimization

Integer Optimization

Decision Analysis

Filters