WGUD514 Analytical Methods of Healthcare Leaders Exam
Questions and Answers with Verified Solutions | Latest 2026 Update
Q: ANOVA test
Answer:
Analysis of variance (ANOVA) may be used in research studies where there are
two or more groups to compare.
Q: Chi-square tests
Answer:
Chi-square tests determine if an association exists between two categorical
variables.
Q: Control group
Answer:
In a healthcare environment, this group of patients does not receive the treatment
that is being studied.
Q: Experimental group
Answer:
This group of patients receives the treatment being studied with follow-up
observation to determine the effect of the treatment.
Q: F-test
Answer:
The F-test is designed 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
Answer:
Frequencies measure how often a particular value occurs to assess the importance
of a value or check the variation of the values in a study.
Q: Hypothesis
,Answer:
A proposed explanation for an observation that leads to a prediction. Through
investigation and the use of statistical data, those doing the study will either
confirm or reject the hypothesis. Testing the hypothesis will show if there is a link
(or not) between two or more variables.
Q: Integrity
Answer:
Research always makes some assumptions, depending on the type of method used.
Research assumptions must be identified to determine possible breaches of
integrity.
Q: Interval data
Answer:
Interval data includes units of equal size, such as IQ results. There is no zero point.
An example of interval scale is time: Time is measured in 24 hours in each day; the
time between each hour is the same, 60 minutes.
Q: Mean
Answer:
Mean is the arithmetic average. Divide the sum of all scores by the total number of
scores.
Q: Median
Answer:
Median is the midpoint of the distribution of values, or the point above or below
which 50 percent of the values fall.
Q: Methods section components
Answer:
When analyzing the quality of a study, a careful evaluation of the research methods
can reveal critical details about population and sample, covariables and hypothesis,
data presentation, statistical analysis, and study limitations.
Q: Misleading statistics
, Answer:
Interpreting and presenting the results of data analysis affords many opportunities
for accidental or deliberate misrepresentations of data. Common examples include
implying causation, extrapolating beyond the reasonable, relying on a biased or
incomplete sample, and using inappropriate graphical representations.
Q: Mode
Answer:
Mode is the value that occurs most frequently in the data.
Q: Multivariate regression analyses
Answer:
Multivariate regression analyses can be used to analyze and adjust risk. This
analysis model contrasts each measured factor to the patient's risk of a particular
outcome.
Q: Nominal data
Answer:
Nominal data can be measured as a frequency or percentage, and the mean of these
data cannot be calculated. Nominal data in healthcare might include demographic
information about patients. The word nominal means "pertaining to a name."
Q: Ordinal data
Answer:
Ordinal data can be measured as a frequency, and the mean of ordinal data is often
calculated. Ordinal data in healthcare might include patient satisfaction surveys
using a Likert scale. The word ordinal means to "put in order."
Q: Parametric and nonparametric tests
Answer:
Parametric tests are based on probability distributions. Nonparametric tests are
used when data are not normally distributed.
Q: Pearson's correlation
Questions and Answers with Verified Solutions | Latest 2026 Update
Q: ANOVA test
Answer:
Analysis of variance (ANOVA) may be used in research studies where there are
two or more groups to compare.
Q: Chi-square tests
Answer:
Chi-square tests determine if an association exists between two categorical
variables.
Q: Control group
Answer:
In a healthcare environment, this group of patients does not receive the treatment
that is being studied.
Q: Experimental group
Answer:
This group of patients receives the treatment being studied with follow-up
observation to determine the effect of the treatment.
Q: F-test
Answer:
The F-test is designed 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
Answer:
Frequencies measure how often a particular value occurs to assess the importance
of a value or check the variation of the values in a study.
Q: Hypothesis
,Answer:
A proposed explanation for an observation that leads to a prediction. Through
investigation and the use of statistical data, those doing the study will either
confirm or reject the hypothesis. Testing the hypothesis will show if there is a link
(or not) between two or more variables.
Q: Integrity
Answer:
Research always makes some assumptions, depending on the type of method used.
Research assumptions must be identified to determine possible breaches of
integrity.
Q: Interval data
Answer:
Interval data includes units of equal size, such as IQ results. There is no zero point.
An example of interval scale is time: Time is measured in 24 hours in each day; the
time between each hour is the same, 60 minutes.
Q: Mean
Answer:
Mean is the arithmetic average. Divide the sum of all scores by the total number of
scores.
Q: Median
Answer:
Median is the midpoint of the distribution of values, or the point above or below
which 50 percent of the values fall.
Q: Methods section components
Answer:
When analyzing the quality of a study, a careful evaluation of the research methods
can reveal critical details about population and sample, covariables and hypothesis,
data presentation, statistical analysis, and study limitations.
Q: Misleading statistics
, Answer:
Interpreting and presenting the results of data analysis affords many opportunities
for accidental or deliberate misrepresentations of data. Common examples include
implying causation, extrapolating beyond the reasonable, relying on a biased or
incomplete sample, and using inappropriate graphical representations.
Q: Mode
Answer:
Mode is the value that occurs most frequently in the data.
Q: Multivariate regression analyses
Answer:
Multivariate regression analyses can be used to analyze and adjust risk. This
analysis model contrasts each measured factor to the patient's risk of a particular
outcome.
Q: Nominal data
Answer:
Nominal data can be measured as a frequency or percentage, and the mean of these
data cannot be calculated. Nominal data in healthcare might include demographic
information about patients. The word nominal means "pertaining to a name."
Q: Ordinal data
Answer:
Ordinal data can be measured as a frequency, and the mean of ordinal data is often
calculated. Ordinal data in healthcare might include patient satisfaction surveys
using a Likert scale. The word ordinal means to "put in order."
Q: Parametric and nonparametric tests
Answer:
Parametric tests are based on probability distributions. Nonparametric tests are
used when data are not normally distributed.
Q: Pearson's correlation
