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Wgu Data Driven Decision Making - C207 With Complete Solutions 100%
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Wgu Data Driven Decision Making - C207 With Complete Solutions 100%
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Wgu Data Driven Decision Making - C207With Complete Solutions 100%
Activities (RBM stage) Answer: second step involves the process that converts inputs to outputs
(actions necessary to produces results - training, evaluating, developing)
Alternative hypothesis Answer: The argument that either a sample is not equal to, greater than, or
less than the hypothesized null sample
Analysis of Variance (ANOVA) Answer: 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 Answer: The discovery, analysis, and communication of meaningful patterns in data.
Autocorrelation Answer: A relationship between two variables that is inherently non-linear
Balanced Scorecard Answer: 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 Answer: A graph that measures the distribution of data over discrete groups or categories.
Benchmarks Answer: Standards or points of reference for an industry or sector that can be used for
comparison and evaluation.
,Big Data Answer: 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 Answer: A study performed where the participants are not told if they are in the
treatment group or control group
body mass index (BMI) Answer: A measure, based on a person's weight and height, that is used to
classify people as underweight or overweight.
Business process Answer: A sequence of logically related and time based work activities to provide a
specific output for a customer.
Central Limit Theorem Answer: 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 Answer: The process of arranging terms or values based on different variables into
"natural" groups
Cointegration Answer: Occurs when two time series are moving with a common pattern due to a
connection between the two time series
Combination Answer: The number of different unordered possibilities for a certain situation.
Complement Answer: The occurrence of an event not happening, the opposite
Confidence interval Answer: An interval estimate used to indicate reliability
, Continuous Data Answer: Data that can lay along any point in a range of data
Control chart Answer: 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 Answer: 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 Answer: compare an individual to certain defined standards
Critical Success Factors Answer: The important things an entity must do to be successful, such as
quality measures, customer service, or efficiency.
Cumulative Average-Time Learning Model Answer: 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 Answer: The probability that a random variable will be found at a value
less than or equal to a given number
Customer satisfaction Answer: A measure of the extent to which customers are satisfied with the
products and related services they received from a supplier.
Cycle time Answer: The total elapsed time to move a unit of work from the beginning to the end of
a physical process, as defined by the producer and the customer.
Cyclicality Answer: Repetition of up (peaks) or down movements (troughs) that follow or counteract
a business cycle that can last several years
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