WGU C207 DATA DRIVEN DECISION MAKING
TASK 1 COMPREHENSIVE TASK PAPER
QUESTIONS AND SOLUTIONS
◉ Data Management.
Answer: The management, including the cleaning and storage, of
collected data
◉ Triple-Blind Study.
Answer: A study performed where neither the treatment allocator
nor the participant nor the response gatherer knows which group
the participant is in
◉ Omission Error.
Answer: An error because something ( for example, data or survey
responses) is missing.
◉ Relational Database.
Answer: A database structured to recognize relations among stored
items of information
◉ Ordinal Data.
,Answer: Data that places data objects into an order according o
some quality with higher order indicating more of that quality
◉ Discrete Data.
Answer: Data that can only take on whole values and has clear
boundaries
◉ Interval Data.
Answer: Data that is ordered within a range and with each data
point being an equal interval apart
◉ Valid Data.
Answer: Data resulting from a test that accurately measures what it
is intended to measure
◉ Big Data.
Answer: A catch-phrase that describes a massive volume that is so
large that it's difficult to process using traditional database software
techniques
◉ Systematic errors.
Answer: Errors in measurement that are constant within a data set,
sometimes caused by faulty equipment or bias.
,◉ Benchmarks.
Answer: Standards or points of reference for an industry or sector
that can be used for comparison and evaluation.
◉ Continuous Data.
Answer: Data that can lay along any point in a range of data
◉ Statistics.
Answer: The science that deals with the interpretation of numerical
facts or data though theories of probability. Also, the numerical facts
or data themselves.
◉ Decision Tree Analysis.
Answer: The diagram of possible alternatives and their expected
consequences in order to formulate passible courses of action in
order to make decisions
◉ Expected Monetary Value (EMV) Analysis.
Answer: A statistical technique that calculates the average outcome
when the future includes scenarios that may or may not happen.
◉ Response Rates.
, Answer: The number of people who respond to a marketing offer
(often expressed as a percentage of the number of responses divided
by the number of people that ere targeted mail, email etc.)
◉ Click-through rates.
Answer: A common metric to measure the success of an email
campaign. Total number of clicks on a hotlink(s) in an email divided
by the number of emails sent. Includes multiple clicks by a unique
user.
◉ Open Rate.
Answer: The number of email message recipients who opened an
email, usually as a percentage of the number of emails sent or
delivered. The open rate is considered a key metric for judging an
email marketing campaign.
◉ Transactional Data.
Answer: Data that records a time and relevant reference data needed
for a particular transaction record; can be financial, involving
everything from a purchase to shipping status to a product return.
◉ Response Bias.
Answer: When respondents to a survey say what they believe the
questioner wants to hear. This bias can occur as a result of the
wording of a question.
TASK 1 COMPREHENSIVE TASK PAPER
QUESTIONS AND SOLUTIONS
◉ Data Management.
Answer: The management, including the cleaning and storage, of
collected data
◉ Triple-Blind Study.
Answer: A study performed where neither the treatment allocator
nor the participant nor the response gatherer knows which group
the participant is in
◉ Omission Error.
Answer: An error because something ( for example, data or survey
responses) is missing.
◉ Relational Database.
Answer: A database structured to recognize relations among stored
items of information
◉ Ordinal Data.
,Answer: Data that places data objects into an order according o
some quality with higher order indicating more of that quality
◉ Discrete Data.
Answer: Data that can only take on whole values and has clear
boundaries
◉ Interval Data.
Answer: Data that is ordered within a range and with each data
point being an equal interval apart
◉ Valid Data.
Answer: Data resulting from a test that accurately measures what it
is intended to measure
◉ Big Data.
Answer: A catch-phrase that describes a massive volume that is so
large that it's difficult to process using traditional database software
techniques
◉ Systematic errors.
Answer: Errors in measurement that are constant within a data set,
sometimes caused by faulty equipment or bias.
,◉ Benchmarks.
Answer: Standards or points of reference for an industry or sector
that can be used for comparison and evaluation.
◉ Continuous Data.
Answer: Data that can lay along any point in a range of data
◉ Statistics.
Answer: The science that deals with the interpretation of numerical
facts or data though theories of probability. Also, the numerical facts
or data themselves.
◉ Decision Tree Analysis.
Answer: The diagram of possible alternatives and their expected
consequences in order to formulate passible courses of action in
order to make decisions
◉ Expected Monetary Value (EMV) Analysis.
Answer: A statistical technique that calculates the average outcome
when the future includes scenarios that may or may not happen.
◉ Response Rates.
, Answer: The number of people who respond to a marketing offer
(often expressed as a percentage of the number of responses divided
by the number of people that ere targeted mail, email etc.)
◉ Click-through rates.
Answer: A common metric to measure the success of an email
campaign. Total number of clicks on a hotlink(s) in an email divided
by the number of emails sent. Includes multiple clicks by a unique
user.
◉ Open Rate.
Answer: The number of email message recipients who opened an
email, usually as a percentage of the number of emails sent or
delivered. The open rate is considered a key metric for judging an
email marketing campaign.
◉ Transactional Data.
Answer: Data that records a time and relevant reference data needed
for a particular transaction record; can be financial, involving
everything from a purchase to shipping status to a product return.
◉ Response Bias.
Answer: When respondents to a survey say what they believe the
questioner wants to hear. This bias can occur as a result of the
wording of a question.
