DATA DRIVEN DECISION MAKING FINAL
ACTUAL ASSESSMENT 2026 COMPLETE
SOLVED QUESTIONS
◉ Information Bias. Answer: A prejudice in the data that results
when either the respondent or the interviewer has an agenda and is
not presenting impartial questions or responding with truly honest
responses, respectively
◉ Ratio Data. Answer: Similar to interval data in that the data is
ordered within a range and with each data point being an equal
interval apart, also has a natural zero point which indicates none of
the given quality
◉ Data Set. Answer: A collection of related data records on a storage
device.
◉ Nominal Data. Answer: Sometimes called categorical data or
qualitative data, this data type is used to label subjects or data by
name
◉ Reliable Data. Answer: Data that is consistent and repeatable
,◉ Davenport-Kim Three Stages Model. Answer: A decision-making
model developed by Thomas Davenport and Jinho Kim that consists
of three stages:
Framing the problem
Solving the problem
Communicating the problem
◉ Blind study. Answer: A study performed where the participants
are not told if they are in the treatment group or control group
◉ Double-Blind Study. Answer: A study performed where neither
the treatment allocators nor the participant knows which group the
participant is in
◉ Measurement Bias. Answer: A prejudice in the data that results
when the sample is not representative of the population being
represented.
◉ Analytics. Answer: The discovery, analysis, and communication of
meaningful patterns in data.
◉ 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.
ACTUAL ASSESSMENT 2026 COMPLETE
SOLVED QUESTIONS
◉ Information Bias. Answer: A prejudice in the data that results
when either the respondent or the interviewer has an agenda and is
not presenting impartial questions or responding with truly honest
responses, respectively
◉ Ratio Data. Answer: Similar to interval data in that the data is
ordered within a range and with each data point being an equal
interval apart, also has a natural zero point which indicates none of
the given quality
◉ Data Set. Answer: A collection of related data records on a storage
device.
◉ Nominal Data. Answer: Sometimes called categorical data or
qualitative data, this data type is used to label subjects or data by
name
◉ Reliable Data. Answer: Data that is consistent and repeatable
,◉ Davenport-Kim Three Stages Model. Answer: A decision-making
model developed by Thomas Davenport and Jinho Kim that consists
of three stages:
Framing the problem
Solving the problem
Communicating the problem
◉ Blind study. Answer: A study performed where the participants
are not told if they are in the treatment group or control group
◉ Double-Blind Study. Answer: A study performed where neither
the treatment allocators nor the participant knows which group the
participant is in
◉ Measurement Bias. Answer: A prejudice in the data that results
when the sample is not representative of the population being
represented.
◉ Analytics. Answer: The discovery, analysis, and communication of
meaningful patterns in data.
◉ 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.
