WGU D514 ANALYTICAL METHODS OF HEALTHCARE
LEADERS Exam Questions and Answers with Verified Solutions |
Latest 2026 Update
Q: ANOVA
Answer:
Analysis of variance test. Used when there are two or more groups to compare.
A group of psychiatric patients are trying three different therapies: counseling,
medication, and biofeedback. You want to see if one therapy is better than others.
Q: Alternative Hypothesis
Answer:
States that the two groups we are studying are different: this is the researcher's
hypothesis, the alternative model that you want to consider. The burden of proof
lies with the researcher.
Q: Analysis Plan
Answer:
A data analysis plan is a roadmap for how you're going to organize and analyze
your survey data -- and it should help you achieve three objectives that relate to the
goal you set before you started your survey.
Q: Bayesian Approach
Answer:
an advanced mathematical procedure that applies probabilities to statistical
problems. It provides people the tools to update their beliefs in the evidence of new
data.
Q: Categorical Variable
Answer:
Values that are names or labels. The color of a ball or the breed of a dog would be
examples of categorical variables.
Q: Central Tendency
,Answer:
Is the phenomenon of typical values often occurring in the middle of a distribution.
The greater the tendency toward the center, the more likely a distribution is normal
in shape.
Q: Chi-square Test
Answer:
Determine if an association exists between two categorical variables. Compares
values you observe to expected.
Q: Do men or women call out sick to work more?
Confounding Variable
Answer:
A variable that obscures the effect of another variable.
Q: Continuous Variable
Answer:
It is also known as an interval variable. There is a meaningful difference between
variables. For example, a temperature difference between 80* and 90* is the same
difference as between 90* and 100*.
Q: Congrol Group
Answer:
In a healthcare environment, this group of patients do not receive the treatment that
is being studied.
Q: Correlation Coefficient
Answer:
Measures strength and direction of a linear relationship between 2 variables on a
scatter plot.
Looks for not only the relationship, but the magnitude of association. It is not
cause and effect, just relationship.
Q: Cross-Sectional Research
, Answer:
Also called a prevalence study, it gathers and analyzes data from a population or
subset of a population at a specific point in time or place.
For example, a group of physicians may wish to do a cross-sectional study to see
how many of their patients ages 10-14 are on medication for ADHD.
Q: Dependent Variable
Answer:
It is what is going to change, or not, as a result of your research.
For example, if you are researching whether or not exercising has an effect on
weight gain, 'exercise' is the independent variable and weight gain is the dependent
variable.
Q: Descriptive Statistics
Answer:
Describe what the data show about the characteristics of a sample -- they tell us
information about a particular population. They are considered accurate and can be
verified.
Q: Experimental Group
Answer:
This group of patients receive the treatment being studied, and with follow-up
observation to determine the effect of the treatment.
Q: F-test
Answer:
For equality of variance: It is most often used when comparing statistical models
that have been fitted to a data set, to identify the model that best fits the population
from which the data were sampled. Ensuring two samples are "not statisically
different."
Q: F-test
Answer:
TDesigned to test if two population variances are equal. The ratio of the two
variances is compared. IF they are equal, the ratio of the variances will be 1.
Q: Frequency
LEADERS Exam Questions and Answers with Verified Solutions |
Latest 2026 Update
Q: ANOVA
Answer:
Analysis of variance test. Used when there are two or more groups to compare.
A group of psychiatric patients are trying three different therapies: counseling,
medication, and biofeedback. You want to see if one therapy is better than others.
Q: Alternative Hypothesis
Answer:
States that the two groups we are studying are different: this is the researcher's
hypothesis, the alternative model that you want to consider. The burden of proof
lies with the researcher.
Q: Analysis Plan
Answer:
A data analysis plan is a roadmap for how you're going to organize and analyze
your survey data -- and it should help you achieve three objectives that relate to the
goal you set before you started your survey.
Q: Bayesian Approach
Answer:
an advanced mathematical procedure that applies probabilities to statistical
problems. It provides people the tools to update their beliefs in the evidence of new
data.
Q: Categorical Variable
Answer:
Values that are names or labels. The color of a ball or the breed of a dog would be
examples of categorical variables.
Q: Central Tendency
,Answer:
Is the phenomenon of typical values often occurring in the middle of a distribution.
The greater the tendency toward the center, the more likely a distribution is normal
in shape.
Q: Chi-square Test
Answer:
Determine if an association exists between two categorical variables. Compares
values you observe to expected.
Q: Do men or women call out sick to work more?
Confounding Variable
Answer:
A variable that obscures the effect of another variable.
Q: Continuous Variable
Answer:
It is also known as an interval variable. There is a meaningful difference between
variables. For example, a temperature difference between 80* and 90* is the same
difference as between 90* and 100*.
Q: Congrol Group
Answer:
In a healthcare environment, this group of patients do not receive the treatment that
is being studied.
Q: Correlation Coefficient
Answer:
Measures strength and direction of a linear relationship between 2 variables on a
scatter plot.
Looks for not only the relationship, but the magnitude of association. It is not
cause and effect, just relationship.
Q: Cross-Sectional Research
, Answer:
Also called a prevalence study, it gathers and analyzes data from a population or
subset of a population at a specific point in time or place.
For example, a group of physicians may wish to do a cross-sectional study to see
how many of their patients ages 10-14 are on medication for ADHD.
Q: Dependent Variable
Answer:
It is what is going to change, or not, as a result of your research.
For example, if you are researching whether or not exercising has an effect on
weight gain, 'exercise' is the independent variable and weight gain is the dependent
variable.
Q: Descriptive Statistics
Answer:
Describe what the data show about the characteristics of a sample -- they tell us
information about a particular population. They are considered accurate and can be
verified.
Q: Experimental Group
Answer:
This group of patients receive the treatment being studied, and with follow-up
observation to determine the effect of the treatment.
Q: F-test
Answer:
For equality of variance: It is most often used when comparing statistical models
that have been fitted to a data set, to identify the model that best fits the population
from which the data were sampled. Ensuring two samples are "not statisically
different."
Q: F-test
Answer:
TDesigned to test if two population variances are equal. The ratio of the two
variances is compared. IF they are equal, the ratio of the variances will be 1.
Q: Frequency
