Question 1

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called

Accepted Answer

A) superdata. 
B) metadata. 
C) extradata. 
D) cases. 
E) none of the above. 
A) superdata. 
B) metadata. 
C) extradata. 
D) cases. 
E) none of the above. B

Question 2

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into
One data warehouse.Below are some of the variables for which data were collected.
Which is/are transactional?

Accepted Answer

A) Type of cell phone plan. 
B) Zip code. 
C) Household income. 
D) Both A and B 
A) Type of cell phone plan. 
B) Zip code. 
C) Household income. 
D) Both A and B A

Question 3

Scanner data gathered from various supermarket chains were merged with data from the travel industry into one data warehouse.Suppose data mining is employed to answer
The following questions.Which is considered a classification problem?

Accepted Answer

A) Whether or not a customer is interested in eco-friendly travel products. 
B) How much a customer spends annually on travel related products? 
C) How much a customer spends annually on international specialty food items? 
D) Both B and C 
A) Whether or not a customer is interested in eco-friendly travel products. 
B) How much a customer spends annually on travel related products? 
C) How much a customer spends annually on international specialty food items? 
D) Both B and C A

Question 4

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Transactional?

Accepted Answer

A) Annual expenditures on garden supplies. 
B) Number of children in household. 
C) Household income. 
D) Both A and B 
A) Annual expenditures on garden supplies. 
B) Number of children in household. 
C) Household income. 
D) Both A and B

Question 5

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
Suppose data mining is used to determine how important it is for a customer to purchase
A vehicle with a very low carbon footprint.In data mining this is referred to as what type
Of problem?

Accepted Answer

A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above. 
A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above.

Question 6

Data not used in building the model but used to evaluate the performance of the model is known as

Accepted Answer

A) the terminal node. 
B) the test set. 
C) meta data. 
D) the training set. 
E) None of the above. 
A) the terminal node. 
B) the test set. 
C) meta data. 
D) the training set. 
E) None of the above.

Question 7

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Suppose the goal of
Data mining using this data warehouse is to predict whether a customer's expenditures on
International specialty food items would increase, decrease or stay the same in the next
Year.What technique might be most appropriate for achieving this goal?

Accepted Answer

A) Neural network. 
B) Unsupervised problem. 
C) Tree model. 
D) Nodal network. 
E) None of the above. 
A) Neural network. 
B) Unsupervised problem. 
C) Tree model. 
D) Nodal network. 
E) None of the above.

Question 8

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Demographic?

Accepted Answer

A) Number of magazine subscriptions. 
B) Monthly expenditures on cleaning supplies. 
C) Homeowner (Yes or No). 
D) Both A and B 
A) Number of magazine subscriptions. 
B) Monthly expenditures on cleaning supplies. 
C) Homeowner (Yes or No). 
D) Both A and B

Question 9

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into
One data warehouse.Suppose the goal of data mining using this data warehouse was to
Predict whether a household's telecommunication needs will increase, decrease or stay
The same over the next year.What technique might be most appropriate for achieving
This goal?

Accepted Answer

A) Neural network. 
B) Supervised problem. 
C) Tree model. 
D) Nodal network. 
E) None of the above. 
A) Neural network. 
B) Supervised problem. 
C) Tree model. 
D) Nodal network. 
E) None of the above.

Question 10

Data used in a supervised problem to build the predictive model is known as

Accepted Answer

A) the terminal node. 
B) the test set. 
C) meta data. 
D) the training set. 
E) None of the above. 
A) the terminal node. 
B) the test set. 
C) meta data. 
D) the training set. 
E) None of the above.

Question 11

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a
Few variables for which data were collected.Which is/are transactional?

Accepted Answer

A) Amount spent on organic food products. 
B) Number of international flights taken annually. 
C) Types of eco-friendly products purchased. 
D) Both A and B 
E) All of the above. 
A) Amount spent on organic food products. 
B) Number of international flights taken annually. 
C) Types of eco-friendly products purchased. 
D) Both A and B 
E) All of the above.

Question 12

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Suppose data mining is used to determine how much a customer spends annually on
Energy efficient products.In data mining this is referred to as what type of problem?

Accepted Answer

A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above. 
A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above.

Question 13

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as

Accepted Answer

A) Tree models. 
B) Supervised problems. 
C) Neural networks. 
D) Nodal network. 
E) None of the above. 
A) Tree models. 
B) Supervised problems. 
C) Neural networks. 
D) Nodal network. 
E) None of the above.

Question 14

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
Below are some of the variables for which data were collected.Which is/are
Transactional?

Accepted Answer

A) Gender. 
B) Homeowner (Yes or No). 
C) Purchase price of the vehicle. 
D) Both B and C 
A) Gender. 
B) Homeowner (Yes or No). 
C) Purchase price of the vehicle. 
D) Both B and C

Question 15

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a
Few variables for which data were collected.Which is/are demographic?

Accepted Answer

A) Age. 
B) Occupation. 
C) Amount spent on organic food products. 
D) Both A and B 
A) Age. 
B) Occupation. 
C) Amount spent on organic food products. 
D) Both A and B

Question 16

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into
One data warehouse.Suppose data mining is employed to answer the following
Questions.Which is considered a regression problem?

Accepted Answer

A) Whether or not a customer would be interested in wireless internet capabilities. 
B) How much does a customer spend on all household communication-related 
C) Whether or not a customer would be interested in flexible cable TV plans (subscribe 
D) Both A and B 
A) Whether or not a customer would be interested in wireless internet capabilities. 
B) How much does a customer spend on all household communication-related 
C) Whether or not a customer would be interested in flexible cable TV plans (subscribe 
D) Both A and B

Question 17

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse.
Suppose data mining is used to determine whether or not a household subscribes to
Magazines about home and garden.In data mining this is referred to as what type of
Problem?

Accepted Answer

A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above. 
A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above.

Question 18

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse.
Suppose data mining is used to determine whether or not a customer would purchase a
Hybrid vehicle.In data mining this is referred to as what type of problem?

Accepted Answer

A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above. 
A) Regression. 
B) Transactional. 
C) Unsupervised. 
D) Classification. 
E) None of the above.

Question 19

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into
One data warehouse.Below are some of the variables for which data were collected.
Which is/are demographic?

Accepted Answer

A) Number of residents in household. 
B) Gender of head of household. 
C) Monthly electricity usage. 
D) Both A and B 
A) Number of residents in household. 
B) Gender of head of household. 
C) Monthly electricity usage. 
D) Both A and B

Question 20

Which is not a phase of the data mining process?

Accepted Answer

A) Business understanding. 
B) Data preparation. 
C) Modeling. 
D) Deployment. 
E) None of the above. 
A) Business understanding. 
B) Data preparation. 
C) Modeling. 
D) Deployment. 
E) None of the above.

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Below are some of the variables for which data were collected. Which is/are transactional?

Scanner data gathered from various supermarket chains were merged with data from the travel industry into one data warehouse.Suppose data mining is employed to answer The following questions.Which is considered a classification problem?

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Transactional?

Data not used in building the model but used to evaluate the performance of the model is known as

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Demographic?

Data used in a supervised problem to build the predictive model is known as

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a Few variables for which data were collected.Which is/are transactional?

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Transactional?

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a Few variables for which data were collected.Which is/are demographic?

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Suppose data mining is employed to answer the following Questions.Which is considered a regression problem?

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Below are some of the variables for which data were collected. Which is/are demographic?

Which is not a phase of the data mining process?

Data

Surveys and Sampling Multiple Choice

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

Sampling Distributions and Confidence Intervals for Proportions

Testing Hypotheses About Proportions

Confidence Intervals and Hypothesis

Comparing Two Groups

Inference for Counts: Chi-Square

Inference for Regression

Multiple Regression

Filters

Exam 16: Introduction to Data Mining

Information about variables, such as variable definitions as well as how and when data were collected, is collectively called

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Below are some of the variables for which data were collected. Which is/are transactional?

Scanner data gathered from various supermarket chains were merged with data from the travel industry into one data warehouse.Suppose data mining is employed to answer The following questions.Which is considered a classification problem?

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Transactional?

Data not used in building the model but used to evaluate the performance of the model is known as

Data gathered from home improvement retailers (e.g.Lowe's, Home Depot, etc.) and publishing companies (magazines, books, etc.) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Demographic?

Data used in a supervised problem to build the predictive model is known as

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a Few variables for which data were collected.Which is/are transactional?

Popular data mining tools inspired by models that tried to mimic the function of the brain are known as

Data gathered from various automobile dealers (Toyota, BMW, etc.) and pro- environment organizations (e.g., Sierra Club) were merged into one data warehouse. Below are some of the variables for which data were collected.Which is/are Transactional?

Scanner data gathered from various supermarket chains were merged with data from the travel industry (e.g., airlines, hotels, etc) into one data warehouse.Below is a list of a Few variables for which data were collected.Which is/are demographic?

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Suppose data mining is employed to answer the following Questions.Which is considered a regression problem?

Data gathered from various telecommunication companies (e.g.cable, phone, internet service providers) and utility companies (electric, fuel, etc.) were merged into One data warehouse.Below are some of the variables for which data were collected. Which is/are demographic?

Which is not a phase of the data mining process?

Data

Surveys and Sampling Multiple Choice

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

Sampling Distributions and Confidence Intervals for Proportions

Testing Hypotheses About Proportions

Confidence Intervals and Hypothesis

Comparing Two Groups

Inference for Counts: Chi-Square

Inference for Regression

Multiple Regression

Filters