C207 WGU Data Driven Decision Making| 135 questions| with
complete solutions
Descriptive - ANSWER-past data only (not predicting or optimizing);
used to inform/explanatory
Predictive - ANSWER-past to predict future (predicting but not
optimizing)
Prescriptive - ANSWER-past to predict future + optimizing )
What are errors in data called? - ANSWER-omission
Out of range error - ANSWER-attempting to access an element whose
index is not within the valid index range
Random error - ANSWER-an error that occurs when the selected sample
is an imperfect representation of the overall population; no correlation
Systematic error - ANSWER-Error that shifts all measurements in a
standardized way. Decreases accuracy. Can result in bias; this error
repeats itself; skewed results
Reliable data - ANSWER-consistent and repeatable; a measure of the
test
, C207 WGU Data Driven Decision Making| 135 questions| with
complete solutions
Valid data - ANSWER-measures what is supposed to be measured
Measurement bias - ANSWER-a form of inaccurate measurement in
which the data consistently overestimate or underestimate the true value
of an event
Information bias - ANSWER-Questions favor an outcome or the
interviewer ask questions that favor an outcome.
Ratio measurement - ANSWER-continuous data with unique zero data
point (ex. Runners cover 26.2 miles in a marathon)
Nominal measurement - ANSWER-Identify, group or categorize (ex.
type of cars that Ford produces)
Ordinal measurement - ANSWER-Place qualitative objects in some kind
of order; ranked low to high (Ex. best 10 cities in the US to retire in)
Interval measurement - ANSWER-orders data at equal distance apart
(ex. women's dress sizes: 0, 2, 4,6, etc.)
Response bias - ANSWER-question is not persuasive; if someone else
asked, you might answer differently
complete solutions
Descriptive - ANSWER-past data only (not predicting or optimizing);
used to inform/explanatory
Predictive - ANSWER-past to predict future (predicting but not
optimizing)
Prescriptive - ANSWER-past to predict future + optimizing )
What are errors in data called? - ANSWER-omission
Out of range error - ANSWER-attempting to access an element whose
index is not within the valid index range
Random error - ANSWER-an error that occurs when the selected sample
is an imperfect representation of the overall population; no correlation
Systematic error - ANSWER-Error that shifts all measurements in a
standardized way. Decreases accuracy. Can result in bias; this error
repeats itself; skewed results
Reliable data - ANSWER-consistent and repeatable; a measure of the
test
, C207 WGU Data Driven Decision Making| 135 questions| with
complete solutions
Valid data - ANSWER-measures what is supposed to be measured
Measurement bias - ANSWER-a form of inaccurate measurement in
which the data consistently overestimate or underestimate the true value
of an event
Information bias - ANSWER-Questions favor an outcome or the
interviewer ask questions that favor an outcome.
Ratio measurement - ANSWER-continuous data with unique zero data
point (ex. Runners cover 26.2 miles in a marathon)
Nominal measurement - ANSWER-Identify, group or categorize (ex.
type of cars that Ford produces)
Ordinal measurement - ANSWER-Place qualitative objects in some kind
of order; ranked low to high (Ex. best 10 cities in the US to retire in)
Interval measurement - ANSWER-orders data at equal distance apart
(ex. women's dress sizes: 0, 2, 4,6, etc.)
Response bias - ANSWER-question is not persuasive; if someone else
asked, you might answer differently
