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WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, A GRADED Rationales

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WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, A GRADED Rationales

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WGU C207




WGU C207 2026 LATEST
UPDATE,
CORRECT ANSWERS, +A
GRADED
Rationales
Simple indexing - answ✔️💜💜✔️-Common analytic measure to improve performance.
Compares current data with data during a base period.


(Price / Price during "Base Period") x 100


i.e. Big Mac was 1.60 in 1968 which is base period. what is index for 2014 if price
was 4.80 then?


(4..60) * 100 = 300 (means price is 3x greater than base period)


Used to identify price fluctuations of supplies, materials, products, etc.



Weighted Index - answ✔️💜💜✔️-assign a weight to allow for significant differences in
the index.



Reasons for including analytics in decision-making - answ✔️💜💜✔️-decrease cost of
data storage


increase processing power


WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, +A GRADED Rationales

,WGU C207




Descriptive Analytics - answ✔️💜💜✔️-using current and past data for strictly descriptive
purposes.


i.e. car price data shows a 2% increase over the prior year


a manager wants to know why sales spiked during the prior quarter



Predictive / Inferential Analytics - answ✔️💜💜✔️-using current and past data to predict/
estimate future.


i.e. based on the past 10 years of data for car prices, we predict an increase of 1.5%
over the upcoming year.



Prescriptive Analytics - answ✔️💜💜✔️-using past data to PREDICT or ESTIMATE future in
order to optimize operations


includes experimental design and optimization to aid in DECISION-MAKING.
MANAGERIAL DECISIONS.


i.e. based on past data, sales prices for electric cars could increase by 5% if we
increased charging stations by 7%



Big data - answ✔️💜💜✔️-Data so big that it's difficult to process using traditional
methods.


Stored in a Data Warehouse.


Mined to identify patterns and trends


Primary purpose is to encourage buying behavior.




WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, +A GRADED Rationales

,WGU C207




Enables products to be more tailored to customer base.


Improves decision-making.


Supports development of next generation products/services.


watch for keywords in test options. i.e. company TOTAL sales (just one number) vs
all sales invoices



Structured / Quantitative Data - answ✔️💜💜✔️-Data follows pre-defined formats.


i.e. multiple choice answers, addresses, names, stock tickers



Unstructured / Qualitative Data - answ✔️💜💜✔️-Data doesn't follow pre-defined
formats. Usually gets structured by a "theme analysis"


i.e. blocks of freeform text, audio, video



Continuous Data - answ✔️💜💜✔️-Data that can take any value (within a set range)


i.e. 3.14159, -189,115.2 a
thermometer reads 66.5
degrees



Interval Data (data measuring levels) - answ✔️💜💜✔️-data is ordered at equal intervals
apart and "0" doesn't mean absence of data, just another data point


a type of continuous data


i.e. date, time, degrees




WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, +A GRADED Rationales

, WGU C207




Ratio Data (data measuring levels) - answ✔️💜💜✔️-0 actually means nothing, not just a
data point


a type of continuous data


i.e. money, height weight



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


i.e. 4, 7, 8 in a preset range of 1-100



Ordinal data (data measuring levels) - answ✔️💜💜✔️-data is ordered based on quality


a type of discrete data


i.e. in blackbelt data, level "3" is higher quality
than "1" gold, silver, and bronze medals



Nominal / Categorical Data (data measuring levels) - answ✔️💜💜✔️-data is assigned a
category/label for identification and grouping purposes


a type of discrete data


i.e. males are assigned "0" and females "1"


potential quality errors: categories can be misspelled



Attribute Data - answ✔️💜💜✔️-Data that shows whether a result meets a requirement
or not (yes/no, pass/fail).




WGU C207 2026 LATEST UPDATE, CORRECT ANSWERS, +A GRADED Rationales

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