WGU QUM3 Task 2: Decision Tree Analysis|
Passed on First Attempt |Latest Update
2025/2026 with Complete Solution
Random Errors - Answer--Error in measurement caused by unpredictable statistical
fluctuations
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
Multiplication Principle - Answer--When the probabilities of multiple events are multiplied
together to determine the likelihood of all the event occurring.
Inferential Statistics - Answer--Statistics that are used to make predictions about a
population from observations of a sample
Descriptive Statistics - Answer--Used to describe a population from observations of that
whole population
Sampling with Replacement - Answer--A technique used when each piece of the
population can be selected more than once.
If sampling with replacement and taking a sample of size n from a population of z, there
are z^n possible outcomes.
Sampling without Replacement - Answer--A technique used when each piece of the
population can only be selected once.
If you take a sample size of n without replacement, there are usually n! (n factorial)
possible outcomes. i.e. n! = 6! = 6 x 5 x 4 x 3 x 2 x 1 = 720
Permutations - Answer--The number of unique ordered possibilities for a certain
situation. nPk=n!/(n-k)!
i.e. n= Number of people P= permutations k= number of available seats
Factorial Operation - Answer--n! or i.e. 5!=5*4*3*2*1=120
or
3!=3*2*1=6
Passed on First Attempt |Latest Update
2025/2026 with Complete Solution
Random Errors - Answer--Error in measurement caused by unpredictable statistical
fluctuations
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
Multiplication Principle - Answer--When the probabilities of multiple events are multiplied
together to determine the likelihood of all the event occurring.
Inferential Statistics - Answer--Statistics that are used to make predictions about a
population from observations of a sample
Descriptive Statistics - Answer--Used to describe a population from observations of that
whole population
Sampling with Replacement - Answer--A technique used when each piece of the
population can be selected more than once.
If sampling with replacement and taking a sample of size n from a population of z, there
are z^n possible outcomes.
Sampling without Replacement - Answer--A technique used when each piece of the
population can only be selected once.
If you take a sample size of n without replacement, there are usually n! (n factorial)
possible outcomes. i.e. n! = 6! = 6 x 5 x 4 x 3 x 2 x 1 = 720
Permutations - Answer--The number of unique ordered possibilities for a certain
situation. nPk=n!/(n-k)!
i.e. n= Number of people P= permutations k= number of available seats
Factorial Operation - Answer--n! or i.e. 5!=5*4*3*2*1=120
or
3!=3*2*1=6
