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WGU C207 Data-Driven Decision Making 1 QUESTIONS WITH 100 % CORRECT ANSWERS |VERIFIED $7.99   Add to cart

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WGU C207 Data-Driven Decision Making 1 QUESTIONS WITH 100 % CORRECT ANSWERS |VERIFIED

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Systematic Errors - ️️Errors in measurement that are constant within a data set, sometimes caused by faulty equipment or bias Davenport-Kim Three-Stage Model - ️️A decision-making model developed by Thomas Davenport and Jinho Kim that consists of three stages: framing the problem, solvi...

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  • September 17, 2024
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  • WGU C207 Data-Driven Decision Making 1
  • WGU C207 Data-Driven Decision Making 1
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ACADEMICMATERIALS
WGU C207 Data-Driven Decision Making
1
Systematic Errors - ✔️✔️Errors in measurement that are constant within a data set,
sometimes caused by faulty equipment or bias

Davenport-Kim Three-Stage Model - ✔️✔️A decision-making model developed by
Thomas Davenport and Jinho Kim that consists of three stages: framing the problem,
solving the problem, and communicating results


.

Benchmarks - ✔️✔️Standards or points of reference for an industry or sector that can
be used for comparison and evaluation.

Analytics - ✔️✔️The discovery, analysis, and communication of meaningful patterns in
data.

Big Data - ✔️✔️A catch-phrase that describes a massive volume of data that is so
large that it's difficult to process using traditional database and software techniques.

Nominal - ✔️✔️Data sometimes called categorical data or qualitative data, this data
type is used to label subjects or data by name

Ordinal Data - ✔️✔️Data that places data objects into an order according to some
quality with higher order indicating more of that quality


Ratio Data - ✔️✔️Similar to interval data in that the data that 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.

Statistics - ✔️✔️The science that deals with the interpretation of numerical facts or data
through theories of probability. Also, the numerical facts or data themselves
Continuous Data - ✔️✔️Data that can lay along any point in a range of data

Discrete Data - ✔️✔️Data that can only take on whole values and has clear boundaries

Reliable Data - ✔️✔️Data that is consistent and repeatable

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