WGU C797 MASTER SUMMARY &
AUTHORIZED KEY ACHIEVE EXCELLENCE
2026.
◍ Spearman's Rs (rhO) Answer:used to determine if there is a
correlation between sets of ranked data (ordinal data) or continuous
data that has been changed to ranks. If data violate the assumptions
for parametric assumptions, and there is ordinal data, this is a good
test to use. Example: The relationship between hospital shifts worked
(day, evening, night) and grade received on final exam (A, B, C, D, F)
◍ Partial correlation r Answer:used to control for the effects of a third
variable. It requires two continuous variables and one continuous
control variable, and provides the strength and direction of a
relationship after controlling for the effects of a confounder or
mediating variable. Example: Understanding the relationship between
number of catheter days, and number of catheter-associated urinary
tract infection (CAUTIs) while controlling for the possible bias of
age.
◍ Point Biserial Correlation Answer:his test is used when one
variable is a nominal or categorical variable, and the other variable is
continuous. Example: Exploring the relationship between sex and test
scores
◍ Rank Biserial Correlation rbs Answer:his test is used to explore the
relationship between one nominal or categorical variable, and an
ordinal (ranked variables).
, ◍ Phi Correlation Answer:These tests are used to explore the
relationship between two nominal or categorical variables. Example:
Understanding the relationship between sex and voting preferences.
◍ P value Answer:probability that the study results are due to change
◍ before calculating a p value you must set the Answer:alpha value
◍ The alpha value will tell you Answer:how likely you are to make
the wrong decision when interpreting your results.
◍ If the alpha is set to 0.05 then that means that you will either reject
or accept your null hypothesis if Answer:if the p value is 5% or
greater
◍ alpha value of 0.05 or more means that you can be how confident
that your results were : Answer:means you can be 95% confident that
the results were due to chance—they are not real. The 5% is your p-
value and the 95% is the confidence level.
◍ If the p value is <alpha then you should Answer:reject your null
◍ What do statistical inferences do? Answer:they help us answer
question about the parameter estimation and about the hypothesis
testing
AUTHORIZED KEY ACHIEVE EXCELLENCE
2026.
◍ Spearman's Rs (rhO) Answer:used to determine if there is a
correlation between sets of ranked data (ordinal data) or continuous
data that has been changed to ranks. If data violate the assumptions
for parametric assumptions, and there is ordinal data, this is a good
test to use. Example: The relationship between hospital shifts worked
(day, evening, night) and grade received on final exam (A, B, C, D, F)
◍ Partial correlation r Answer:used to control for the effects of a third
variable. It requires two continuous variables and one continuous
control variable, and provides the strength and direction of a
relationship after controlling for the effects of a confounder or
mediating variable. Example: Understanding the relationship between
number of catheter days, and number of catheter-associated urinary
tract infection (CAUTIs) while controlling for the possible bias of
age.
◍ Point Biserial Correlation Answer:his test is used when one
variable is a nominal or categorical variable, and the other variable is
continuous. Example: Exploring the relationship between sex and test
scores
◍ Rank Biserial Correlation rbs Answer:his test is used to explore the
relationship between one nominal or categorical variable, and an
ordinal (ranked variables).
, ◍ Phi Correlation Answer:These tests are used to explore the
relationship between two nominal or categorical variables. Example:
Understanding the relationship between sex and voting preferences.
◍ P value Answer:probability that the study results are due to change
◍ before calculating a p value you must set the Answer:alpha value
◍ The alpha value will tell you Answer:how likely you are to make
the wrong decision when interpreting your results.
◍ If the alpha is set to 0.05 then that means that you will either reject
or accept your null hypothesis if Answer:if the p value is 5% or
greater
◍ alpha value of 0.05 or more means that you can be how confident
that your results were : Answer:means you can be 95% confident that
the results were due to chance—they are not real. The 5% is your p-
value and the 95% is the confidence level.
◍ If the p value is <alpha then you should Answer:reject your null
◍ What do statistical inferences do? Answer:they help us answer
question about the parameter estimation and about the hypothesis
testing
