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WGU Data Driven Decision Making - C207
Questions and Verified Answers
Activities (RBM stage)
Ans: second step involves the process that converts inputs to outputs
(actions necessary to produces results - training, evaluating, developing)
Alternative hypothesis
Ans: The argument that either a sample is not equal to, greater than, or
less than the hypothesized null sample
Analysis of Variance (ANOVA)
Ans: a technique used to determine if there is a sufficient evidence from
sample data of three or more populations to conclude that the means of the
population are not all equal
Analytics
Ans: The discovery, analysis, and communication of meaningful patterns in
data.
Autocorrelation
Ans: A relationship between two variables that is inherently non-linear
Balanced Scorecard
Ans: An approach using multiple measures to evaluate performance,
including financial measures, and the non-financial measures of customers,
internal business processes, and learning and growth.
Bar chart
Ans: A graph that measures the distribution of data over discrete groups or
categories.
Benchmarks
Ans: Standards or points of reference for an industry or sector that can be
used for comparison and evaluation.
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Big Data
Ans: very large amounts of data; an all-encompassing term for any
collection of data sets so large and complex that it becomes difficult to
process them using traditional data processing applications
Blind Study
Ans: A study performed where the participants are not told if they are in the
treatment group or control group
body mass index (BMI)
Ans: A measure, based on a person's weight and height, that is used to
classify people as underweight or overweight.
Business process
Ans: A sequence of logically related and time based work activities to
provide a specific output for a customer.
Central Limit Theorem
Ans: A theorem that states that, the greater the sample, the closer the mean
of the sample is to the entire population and the more the results will look
like a normal distribution
Cluster Analysis
Ans: The process of arranging terms or values based on different variables
into "natural" groups
Cointegration
Ans: Occurs when two time series are moving with a common pattern due
to a connection between the two time series
Combination
Ans: The number of different unordered possibilities for a certain situation.
Complement
Ans: The occurrence of an event not happening, the opposite
Confidence interval
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Ans: An interval estimate used to indicate reliability
Continuous Data
Ans: Data that can lay along any point in a range of data
Control chart
Ans: A graphic display of process data over time and against established
control limits, and that has a centerline that assists in detecting a trend of
plotted values toward either control limit.
Control limits
Ans: The area composed of three standard deviations on either side of the
centerline, or mean, of a normal distribution of data plotted on a control
chart that reflects the expected variation in the data
Criterion-reference test
Ans: compare an individual to certain defined standards
Critical Success Factors
Ans: The important things an entity must do to be successful, such as
quality measures, customer service, or efficiency.
Cumulative Average-Time Learning Model
Ans: A learning curve model in which the cumulative average time per unit
declines by a constant percentage each time the cumulative quantity of
units produced is doubled
Cumulative distributions
Ans: The probability that a random variable will be found at a value less
than or equal to a given number
Customer satisfaction
Ans: A measure of the extent to which customers are satisfied with the
products and related services they received from a supplier.
Cycle time
WGU Data Driven Decision Making - C207
Questions and Verified Answers
Activities (RBM stage)
Ans: second step involves the process that converts inputs to outputs
(actions necessary to produces results - training, evaluating, developing)
Alternative hypothesis
Ans: The argument that either a sample is not equal to, greater than, or
less than the hypothesized null sample
Analysis of Variance (ANOVA)
Ans: a technique used to determine if there is a sufficient evidence from
sample data of three or more populations to conclude that the means of the
population are not all equal
Analytics
Ans: The discovery, analysis, and communication of meaningful patterns in
data.
Autocorrelation
Ans: A relationship between two variables that is inherently non-linear
Balanced Scorecard
Ans: An approach using multiple measures to evaluate performance,
including financial measures, and the non-financial measures of customers,
internal business processes, and learning and growth.
Bar chart
Ans: A graph that measures the distribution of data over discrete groups or
categories.
Benchmarks
Ans: Standards or points of reference for an industry or sector that can be
used for comparison and evaluation.
, Page | 2
Big Data
Ans: very large amounts of data; an all-encompassing term for any
collection of data sets so large and complex that it becomes difficult to
process them using traditional data processing applications
Blind Study
Ans: A study performed where the participants are not told if they are in the
treatment group or control group
body mass index (BMI)
Ans: A measure, based on a person's weight and height, that is used to
classify people as underweight or overweight.
Business process
Ans: A sequence of logically related and time based work activities to
provide a specific output for a customer.
Central Limit Theorem
Ans: A theorem that states that, the greater the sample, the closer the mean
of the sample is to the entire population and the more the results will look
like a normal distribution
Cluster Analysis
Ans: The process of arranging terms or values based on different variables
into "natural" groups
Cointegration
Ans: Occurs when two time series are moving with a common pattern due
to a connection between the two time series
Combination
Ans: The number of different unordered possibilities for a certain situation.
Complement
Ans: The occurrence of an event not happening, the opposite
Confidence interval
, Page | 3
Ans: An interval estimate used to indicate reliability
Continuous Data
Ans: Data that can lay along any point in a range of data
Control chart
Ans: A graphic display of process data over time and against established
control limits, and that has a centerline that assists in detecting a trend of
plotted values toward either control limit.
Control limits
Ans: The area composed of three standard deviations on either side of the
centerline, or mean, of a normal distribution of data plotted on a control
chart that reflects the expected variation in the data
Criterion-reference test
Ans: compare an individual to certain defined standards
Critical Success Factors
Ans: The important things an entity must do to be successful, such as
quality measures, customer service, or efficiency.
Cumulative Average-Time Learning Model
Ans: A learning curve model in which the cumulative average time per unit
declines by a constant percentage each time the cumulative quantity of
units produced is doubled
Cumulative distributions
Ans: The probability that a random variable will be found at a value less
than or equal to a given number
Customer satisfaction
Ans: A measure of the extent to which customers are satisfied with the
products and related services they received from a supplier.
Cycle time
