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WGU D207 DATA DRIVEN DECISION MAKING OA EXAM AND STUDY GUIDE LATEST 2024 ACTUAL EXAM 500 QUESTIONS AND CORRECT DETAILED ANSWERS WITH RATIONALES (VERIFIED ANSWERS) |ALREADY GRADED A+$17.99
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WGU D207 DATA DRIVEN DECISION MAKING OA EXAM AND STUDY GUIDE LATEST 2024 ACTUAL EXAM 500 QUESTIONS AND CORRECT DETAILED ANSWERS WITH RATIONALES (VERIFIED ANSWERS) |ALREADY GRADED A+
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WGU D207 DATA DRIVEN DECISION MAKING OA EXAM AND STUDY GUIDE LATEST 2024 ACTUAL EXAM 500 QUESTIONS AND CORRECT DETAILED ANSWERS WITH RATIONALES (VERIFIED ANSWERS) |ALREADY GRADED A+
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WGU D207 DATA DRIVEN DECISION MAKING OA EXAM
AND STUDY GUIDE LATEST 2024 ACTUAL EXAM 500
QUESTIONS AND CORRECT DETAILED ANSWERS WITH
RATIONALES (VERIFIED ANSWERS) |ALREADY GRADED
A+
Analytics - ANSWER: A term describing the extensive use of data, statistical and
quantitative analysis, explanatory and predictive models, and fact-based
management to drive decisions and actions.
Graphical Analysis Includes: - ANSWER: Histogram, Run Chart, Scatter Diagram, and
Pareto Chart
Descriptive/diagnostic analytics includes: - ANSWER: Graphical analysis and
discovery of patterns
What are Data Analytics? - ANSWER: Data, statistical and quantitative analysis, fact-
based decisions
Discovery of Patterns Includes: - ANSWER: Sums, Averages and Percentages
Predictive analytic models include - ANSWER: Time Series Analysis (trends)
Regression
Statistical Quality Control
Simulation
Descriptive/Diagnostic Analytics - ANSWER: Encompasses the set of techniques that
describes what has happened in the past
Predictive Analytics - ANSWER: Consists of techniques that use models constructed
from past data to predict the future or ascertain the impact of one variable on
another
Analytics encompasses: - ANSWER: Typically implies the analysis a very large data
sets. Statistics or the study of data analysis. Management science or the study of
model building, optimization, and decision making
Optimization models - ANSWER: determine optimal resource allocation to maximize
or minimize specified variables
What analytics decision is it when a builder elects to build fewer homes and more
apartments based on the risk of rising interest rates? - ANSWER: Prescriptive
, What Type of analytics is it when you were looking at the mean math score of high
school students? - ANSWER: Descriptive
What type of analytics is completed when you look at new car sales that are
projected to decrease by 3% in the new year? - ANSWER: Predictive
What does big data refer to? - ANSWER: Big data refers to both structured and
unstructured data in large volumes
What is analytics used for? - ANSWER: Analytics is used to discover and
communicate meaning for patterns and big data
What does analysis of big data require? - ANSWER: It requires a system of
organization
What is the Davenport Kim three stage model - ANSWER: It is a model of
quantitative decision making that maps out a three stage approach to quantitative
analysis
The davenport Kim three stage model includes - ANSWER: Framing the problem,
solving the problem, and communicating results
Framing the problem includes: - ANSWER: Problem recognition and review of
previous findings
Solving the problem includes: - ANSWER: Choose the model, collect the data, analyze
the data
Communicating results include: - ANSWER: Communicate results and act on results
When framing the problem you should: - ANSWER: Define the business problem,
determine the different types of analysis you want to do, what data and how you will
collect it.
When solving the problem you should: - ANSWER: Determine the types of data you
want to look at, how you will collect the data and if there's any errors in the data,
and the analysis technique and analysis that you will be completing
When communicating the results: - ANSWER: The presentation of analysis output
and the recommendation
What step is this-when a quality team review a process past improvements and type
of data that can be gathered? - ANSWER: Frame the Problem
What step is this- The quality team gathers data and performs a regression analysis?
- ANSWER: Solving the problem
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