WGU C955 APPLIED PROBABILITY AND
STATISTICS FINAL 2026 CORE CONCEPT
LEARNING RESOURCE
◉ experimental study. Answer: The researcher applies a treatment
to one group and no treatment (or placebo) to a control group, to
determine if there is causation between variables.
◉ extrapolate. Answer: Using information from a data set to make
predictions about data outside of the original set.
◉ hypothesis test. Answer: A statistical test that tells us whether a
result is significant.
◉ least squares. Answer: A technique for finding the regression line.
Least squares is the criteria by which the best-fit line is selected for
paired data. It is a method that minimizes the squared distances of
data points from a line that captures the trend in paired data.
◉ linear extrapolation. Answer: Estimation using the linear
regression equation is made outside known data points.
, ◉ linear interpolation. Answer: Estimation using the linear
regression equation in between known data points.
◉ lurking variable. Answer: A variable that is not included in an
analysis but that is related to two (or more) other associated
variables which were analyzed.
◉ negative correlation. Answer: A linear relationship between two
quantitative variables in which the dependent variable increases as
the independent variable decreases.
◉ observational study. Answer: The researcher observes if there is
an association between variables. There is no treatment or control
group.
◉ p-value. Answer: The probability that a result was caused by
chance.
◉ population. Answer: All subjects in the study which have the
characteristics being evaluated.
◉ positive correlation. Answer: A linear relationship between two
quantitative variables in which the dependent variable increases as
the independent variable increases.
STATISTICS FINAL 2026 CORE CONCEPT
LEARNING RESOURCE
◉ experimental study. Answer: The researcher applies a treatment
to one group and no treatment (or placebo) to a control group, to
determine if there is causation between variables.
◉ extrapolate. Answer: Using information from a data set to make
predictions about data outside of the original set.
◉ hypothesis test. Answer: A statistical test that tells us whether a
result is significant.
◉ least squares. Answer: A technique for finding the regression line.
Least squares is the criteria by which the best-fit line is selected for
paired data. It is a method that minimizes the squared distances of
data points from a line that captures the trend in paired data.
◉ linear extrapolation. Answer: Estimation using the linear
regression equation is made outside known data points.
, ◉ linear interpolation. Answer: Estimation using the linear
regression equation in between known data points.
◉ lurking variable. Answer: A variable that is not included in an
analysis but that is related to two (or more) other associated
variables which were analyzed.
◉ negative correlation. Answer: A linear relationship between two
quantitative variables in which the dependent variable increases as
the independent variable decreases.
◉ observational study. Answer: The researcher observes if there is
an association between variables. There is no treatment or control
group.
◉ p-value. Answer: The probability that a result was caused by
chance.
◉ population. Answer: All subjects in the study which have the
characteristics being evaluated.
◉ positive correlation. Answer: A linear relationship between two
quantitative variables in which the dependent variable increases as
the independent variable increases.
