WGU C207 DATA DRIVEN DECISION MAKING
FINAL EXAM 2026 COMPLETE QUESTIONS
WITH ANSWERS
◉ 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
FINAL EXAM 2026 COMPLETE QUESTIONS
WITH ANSWERS
◉ 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
