1|Page
WGU C207 DATA-DRIVEN DECISION MAKING - QUESTIONS
AND CORRECT ANSWERS WITH RATIONALES LATEST THIS
YEAR.PDF
Frame the Problem, Solving the Problem and Communicating Results
are part of which decision making model? ......ANSWER......Davenport-
Kim three-stage model
In which stage of the Davenport-Kim model is problem recognition?
......ANSWER......Framing the problem
In which stage of the Davenport-Kim model is data collection?
......ANSWER......Solving the problem
What is a key reason we study statistics? ......ANSWER......To make
informed decisions
Visually presenting the data assists in which stage of the Davenport-Kim
model? ......ANSWER......Communicating the results
When does research fail to produce reliable results?
......ANSWER......Poor research validity
What are the two major issues surrounding research standards?
......ANSWER......Best practices and ethics
,2|Page
In order to be a statistically valid sample, the sample must be:
......ANSWER......The appropriate size and random
Not selecting a random sample is what type of bias?
......ANSWER......Measurement
Not selecting a right sized sample is what type of bias?
......ANSWER......Measurement
Research best practices eliminate... ......ANSWER......Bias
Outliers create this type of error ......ANSWER......Out-of Range
Unpredictable error ......ANSWER......Random Error - No correlation
Error may occur from missing data. (Example: Space not filled in)
......ANSWER......Omission Error - Distorted results
This error repeats itself ......ANSWER......Systematic Error - Skewed
results
, 3|Page
Observation points that are distant from other observations.
......ANSWER......Outliers Note: Can be included or excluded in analysis
(causes skewness)
Types of Bias: Bias that occurs from not selecting a random sample
......ANSWER......Measurement bias
Types of Bias: Bias introduced because respondents believe it will be
beneficial if selected. ......ANSWER......Conscious bias (key word: benefit)
Consistent and repeatable data ......ANSWER......Reliable
Resulting from accurate measurements ......ANSWER......Valid data
If a responder lies on their survey, this creates what type of bias?
......ANSWER......Information
Sorting your spreadsheet can expose these errors by moving them to
the very top or the very bottom of the column
......ANSWER......Omission or Out-of-Range
An error that will fix itself over time ......ANSWER......Random
WGU C207 DATA-DRIVEN DECISION MAKING - QUESTIONS
AND CORRECT ANSWERS WITH RATIONALES LATEST THIS
YEAR.PDF
Frame the Problem, Solving the Problem and Communicating Results
are part of which decision making model? ......ANSWER......Davenport-
Kim three-stage model
In which stage of the Davenport-Kim model is problem recognition?
......ANSWER......Framing the problem
In which stage of the Davenport-Kim model is data collection?
......ANSWER......Solving the problem
What is a key reason we study statistics? ......ANSWER......To make
informed decisions
Visually presenting the data assists in which stage of the Davenport-Kim
model? ......ANSWER......Communicating the results
When does research fail to produce reliable results?
......ANSWER......Poor research validity
What are the two major issues surrounding research standards?
......ANSWER......Best practices and ethics
,2|Page
In order to be a statistically valid sample, the sample must be:
......ANSWER......The appropriate size and random
Not selecting a random sample is what type of bias?
......ANSWER......Measurement
Not selecting a right sized sample is what type of bias?
......ANSWER......Measurement
Research best practices eliminate... ......ANSWER......Bias
Outliers create this type of error ......ANSWER......Out-of Range
Unpredictable error ......ANSWER......Random Error - No correlation
Error may occur from missing data. (Example: Space not filled in)
......ANSWER......Omission Error - Distorted results
This error repeats itself ......ANSWER......Systematic Error - Skewed
results
, 3|Page
Observation points that are distant from other observations.
......ANSWER......Outliers Note: Can be included or excluded in analysis
(causes skewness)
Types of Bias: Bias that occurs from not selecting a random sample
......ANSWER......Measurement bias
Types of Bias: Bias introduced because respondents believe it will be
beneficial if selected. ......ANSWER......Conscious bias (key word: benefit)
Consistent and repeatable data ......ANSWER......Reliable
Resulting from accurate measurements ......ANSWER......Valid data
If a responder lies on their survey, this creates what type of bias?
......ANSWER......Information
Sorting your spreadsheet can expose these errors by moving them to
the very top or the very bottom of the column
......ANSWER......Omission or Out-of-Range
An error that will fix itself over time ......ANSWER......Random
