WGU C207 Data Driven Decision Making 135 Questions with Complete Solutions
C207 WGU Data Driven Decision Making| 135 questions|
with complete solutions
Descriptive CORRECT ANSWERS: Past data only; Not predicting or optimizing
Predictive CORRECT ANSWERS: Past to predict the future; Predicting, no optimizing
Prescriptive CORRECT ANSWERS: Past to predict the future and optimizing
Omission CORRECT ANSWERS: Missing information
Out of Range CORRECT ANSWERS: Doesn’t match the data or not true
Reliable CORRECT ANSWERS: Constant and repeatable. A measure of the instrument
Valid CORRECT ANSWERS: Measures what is intended to be measured
Measurement bias CORRECT ANSWERS: Includes representative sample, random, large
enough sample
Information bias CORRECT ANSWERS: Ignore the purpose of the information collection; not
truthful answers
Big Data CORRECT ANSWERS: Both structure and unstructured; to large to process using
traditional database and software techniques
Data mining CORRECT ANSWERS: Process of discovering pattern in large data sets
Why collect big data? CORRECT ANSWERS: Used to encourage buying behavior
Analytics CORRECT ANSWERS: the extensive use of data, statistical and quantitative analysis,
explanatory and predictive models, and fact-based management to drive decisions and and add
value
Variable CORRECT ANSWERS: An expression that can be assigned to data
Continuous data CORRECT ANSWERS: Data that can lay along any point in a range of data
(age 22.6 old)
Discrete data CORRECT ANSWERS: Whole values only and clear boundaries
Nominal data CORRECT ANSWERS: Categorical data used to label subjects in a study;
discrete (male female)
WGU C207 Data Driven Decision Making 135
Questions with Complete Solutions
Ordinal data CORRECT ANSWERS: Allows you to place objects on some in some kind of
order according to some quality; discrete (black belts 3rd degree higher than 1st degree)
Interval data CORRECT ANSWERS: has order; all objects are equal interval apart; no natural
zero point and zero does not represent the absence of the property measured; Continuous (time,
date, temperature)
Ratio data CORRECT ANSWERS: Has a unique zero point – numbers can be compared as
multiples of one another, continuous (income, stock, repeat customers)
Observational studies CORRECT ANSWERS: used when impractical and impossible to control
the conditions of the study
Prospective cohort study CORRECT ANSWERS: Observe people going forward in time from
the time of their entry into the study
Experimental studies CORRECT ANSWERS: All variable measurements and manipulations are
under researcher’s control.
Experimental studies: Experimental units CORRECT ANSWERS: Subjects or objects under
observations
Experimental studies: Experimental treatments CORRECT ANSWERS: Procedure applied to
each subject
Experimental studies: Responses CORRECT ANSWERS: Effects of the experimental
treatments
1st step of statistical experiment CORRECT ANSWERS: Identify the experimental units from
which you want to measure something
2nd step of statistical experiment CORRECT ANSWERS: Id the treatments and controls that
you will use on control group
3rd step of statistical experiment CORRECT ANSWERS: Generate a testable hypothesis
construct validity CORRECT ANSWERS: study actual measure what is being investigated
content validity CORRECT ANSWERS: Construct measures what it claims to measure
Internal validity CORRECT ANSWERS: Biases may have entered the study
Blind study CORRECT ANSWERS: participants are not told if they are in treatment group or
control group
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