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WGU C207 OA DATA DRIVEN DECISION MAKING TEST BANK REVIEW SHEET TESTED QUESTIONS GRADED A+

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WGU C207 OA DATA DRIVEN DECISION MAKING TEST BANK REVIEW SHEET TESTED QUESTIONS GRADED A+

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WGU C207 OA DATA DRIVEN DECISION
MAKING TEST BANK REVIEW SHEET
TESTED QUESTIONS GRADED A+

●● Predictive Analytics
Answer: the use of past data to model future outcomes


●● Prescriptive Analytics
Answer: use techniques that create models indicating the best decision to
make or course of action to take


●● 4 components of Big Data
Answer: Structured and Unstructured data, large quantities, cannot use
traditional software and databases


●● Data Mining
Answer: finding hidden patterns within Big Data


●● 3 Steps of Davenport-Kim Three-Stage Model
Answer: 1. framing the problem
2. solving the problem
3. communicating results

,●● Data Management
Answer: A process that focuses on data collection, storage, and retrieval.
Common data management functions include addition, deletion,
modification, and listing.


●● Continuous Data
Answer: Data that can be any value on a range


ex: age


●● Interval Data
Answer: Data that is within a range and an equal interval apart


ex: times, shoe sizes


●● Ratio Data
Answer: Data that have known intervals between values and a
meaningful zero value


ex: income, inventory levels
Ratioooo = 0

,●● Discrete Data
Answer: Numerical data that can be counted as whole numbers


ex: cars


●● Nominal Data
Answer: Data which consists of names, labels, or categories


ex: male/female
NOMinal = NAMes


●● Ordinal Data
Answer: Data that places objects into an order according to some quality
with higher order indicating more of that quality


ex: degrees
ORDinal = ORDered


●● Random Error
Answer: An error that will not repeat itself and occurs less in larger
samples of data


●● Systematic Error

, Answer: An error that is consistently made throughout an experiment,
likely because of measurement or tool faultiness


●● Omission Error
Answer: An error because something (for example, data or survey
response) is missing.


●● Outlier
Answer: A value much greater or much less than the others in a data set


●● Measurement Bias
Answer: Bias from a poor representation of the population or a sample
that is not random


●● Response Bias
Answer: Tendency for subjects to respond with what they assume the
questioner wants to hear


●● Conscious Bias
Answer: Tendency for the surveyor to be seeking or leading to a certain
response


●● Skewness (Bias)

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