WGU C207 Data-Driven Decision Making – Complete Study Guide & Exam Prep (High-Yield Notes + Practice Questions)

WGU C207 Data-Driven Decision Making
FLASHCARDS FROM COURSE


Two types of statistics (Analytics)
Descriptive and Inferential


Descriptive statistics are used to
Inform / Explanatory


Inferential statistics are used to
Predict / Trend


Name the 4 levels of measurement
(NOIR) Nominal, Ordinal, Interval, Ratio


Continuous data with unique zero point
Ratio


Orders data at equal distance apart
Interval


Place qualitative objects in some kind of order
Ordinal


Identify, Group, or Categorize
Nominal


Outliers create this type of error

, Out-of Range


Unpredictable error
Random Error - No correlation


Error may occur from missing data. (Example: Space not filled in)
Omission Error - Distorted results


This error repeats itself
Systematic Error - Skewed results


What is the process of quality control?
Reduce/ minimize errors


All variable measurements and manipulations are under the researcher's control
Experimental study


Used when impractical or impossible to control the conditions of the study
Observational study


Participants are not told if they are in the treatment group or control group
Blind Study


The procedure the researcher applies to each subject
Treatments


Neither the treatment allocator nor the participants know who is in the treatment group
or control group
Double blind study