BUSI 303 QUIZ 6 PRACTICE REVIEW 2026
TESTED QUESTIONS SUCCESS A+
◉ ____________________ is a form of analytics which examines data to
answer the question "what should be done?" or "what can we do to
make XYZ happen?"
Descriptive
Exploratory
Predictive
Prescriptive. Answer: Prescriptive
◉ Analytics are not applicable when
You have no historical data
Variables are difficult to be measured
There is not time to perform analysis (rapid decision making)
Totally unstructured decisions
All of the above are true. Answer: All of the above are true
◉ Data mining should be viewed as a process. Answer: True
,◉ CRISP-DM is an iterative process. Answer: True
◉ A model's accuracy rate on the training data set is a better
measure of the model's predictive ability than its accuracy rate on
the validation data set. Answer: False
◉ In supervised DM technique, the algorithms learn which values of
target variable are associated with predictor variables. Answer: True
◉ The final stage of the CRISP-DM data mining process is
"Evaluation.". Answer: False
◉ The analysts meet to discuss whether the neural network or
decision tree models should be implemented. Identify the CRISP-DM
phase for this task
Phase 1
Phase 2
Phase 3
Phase 4
Phase 6. Answer: Phase 4
◉ CRISP-DM is a hierarchical process model that consists of
, Phases
Generic tasks
Specialized tasks
Process instances
All of the above. Answer: All of the above
◉ Data has been collected on visitor's viewing habits at a bank's
website. Which technique is used to identify pages commonly
viewed during the same visit to the website?
Classification
Association
Prediction
Clustering. Answer: Association
◉ The data mining project manager meets with the data-
warehousing manager to discuss how the data will be collected.
Identify the CRISP-DM phase for this task
Phase 1
Phase 2
Phase 3
TESTED QUESTIONS SUCCESS A+
◉ ____________________ is a form of analytics which examines data to
answer the question "what should be done?" or "what can we do to
make XYZ happen?"
Descriptive
Exploratory
Predictive
Prescriptive. Answer: Prescriptive
◉ Analytics are not applicable when
You have no historical data
Variables are difficult to be measured
There is not time to perform analysis (rapid decision making)
Totally unstructured decisions
All of the above are true. Answer: All of the above are true
◉ Data mining should be viewed as a process. Answer: True
,◉ CRISP-DM is an iterative process. Answer: True
◉ A model's accuracy rate on the training data set is a better
measure of the model's predictive ability than its accuracy rate on
the validation data set. Answer: False
◉ In supervised DM technique, the algorithms learn which values of
target variable are associated with predictor variables. Answer: True
◉ The final stage of the CRISP-DM data mining process is
"Evaluation.". Answer: False
◉ The analysts meet to discuss whether the neural network or
decision tree models should be implemented. Identify the CRISP-DM
phase for this task
Phase 1
Phase 2
Phase 3
Phase 4
Phase 6. Answer: Phase 4
◉ CRISP-DM is a hierarchical process model that consists of
, Phases
Generic tasks
Specialized tasks
Process instances
All of the above. Answer: All of the above
◉ Data has been collected on visitor's viewing habits at a bank's
website. Which technique is used to identify pages commonly
viewed during the same visit to the website?
Classification
Association
Prediction
Clustering. Answer: Association
◉ The data mining project manager meets with the data-
warehousing manager to discuss how the data will be collected.
Identify the CRISP-DM phase for this task
Phase 1
Phase 2
Phase 3
