Page 1 of 48
WGU C784 Applied Healthcare Statistics Exam Preparation
Actual Complete Real Exam Questions and Answers Practice
Questions With Solutions and Rationales Newest 2026-2027 |
Already Graded A+
1. A hospital quality improvement team is reviewing patient wait times in the emergency
department. Which statistical measure best represents the average wait time when
extreme outliers are present?
A. Mode
B. Range
C. Standard deviation
D. Median
Rationale: The median is less affected by extreme outliers and provides a more accurate measure
of central tendency when skewed data are present.
2. A researcher wants to determine whether smoking status is associated with the
development of chronic obstructive pulmonary disease (COPD). Which statistical test is
most appropriate?
A. Independent t-test
B. ANOVA
C. Chi-square test
D. Pearson correlation
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Rationale: A chi-square test evaluates associations between categorical variables such as
smoking status and disease presence.
3. Which level of measurement applies to body temperature measured in degrees Celsius?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Rationale: Celsius temperature has equal intervals but lacks a true zero point, making it
interval-level data.
4. A healthcare analyst reports that the probability value for a clinical trial is 0.02. What
does this indicate?
A. The null hypothesis is definitely false
B. The results occurred by chance 98% of the time
C. There is a 2% probability the observed results occurred if the null hypothesis is true
D. The study findings are clinically insignificant
Rationale: A p-value of 0.02 indicates a 2% probability that the observed findings occurred
assuming the null hypothesis is true.
5. A nurse manager calculates the average number of falls per month in a rehabilitation unit.
This is an example of:
A. Inferential statistics
B. Predictive analytics
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C. Epidemiology
D. Descriptive statistics
Rationale: Descriptive statistics summarize and organize data such as averages and frequencies.
6. Which statement best describes a Type I error?
A. Failing to reject a false null hypothesis
B. Incorrectly accepting the null hypothesis
C. Rejecting a true null hypothesis
D. Finding no statistical significance when significance exists
Rationale: A Type I error occurs when a true null hypothesis is incorrectly rejected.
7. In a normal distribution, approximately what percentage of observations fall within one
standard deviation of the mean?
A. 34%
B. 50%
C. 68%
D. 95%
Rationale: The empirical rule states that approximately 68% of observations lie within one
standard deviation of the mean.
8. A public health researcher is studying the incidence of influenza in a population over one
year. Incidence refers to:
A. Total cases at a given time
B. New cases occurring during a specific period
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C. Mortality rates
D. Existing chronic conditions
Rationale: Incidence measures newly occurring cases within a defined timeframe.
9. Which graph is most appropriate for displaying the distribution of continuous blood
pressure readings?
A. Pie chart
B. Bar graph
C. Scatterplot
D. Histogram
Rationale: Histograms effectively display frequency distributions of continuous variables.
10. A clinical trial randomly assigns participants to treatment and control groups primarily to:
A. Increase sample size
B. Reduce participant dropout
C. Minimize selection bias and confounding variables
D. Guarantee external validity
Rationale: Randomization reduces bias and helps equalize confounding variables between
groups.
11. Which measure indicates the spread of data around the mean?
A. Median
B. Mode
WGU C784 Applied Healthcare Statistics Exam Preparation
Actual Complete Real Exam Questions and Answers Practice
Questions With Solutions and Rationales Newest 2026-2027 |
Already Graded A+
1. A hospital quality improvement team is reviewing patient wait times in the emergency
department. Which statistical measure best represents the average wait time when
extreme outliers are present?
A. Mode
B. Range
C. Standard deviation
D. Median
Rationale: The median is less affected by extreme outliers and provides a more accurate measure
of central tendency when skewed data are present.
2. A researcher wants to determine whether smoking status is associated with the
development of chronic obstructive pulmonary disease (COPD). Which statistical test is
most appropriate?
A. Independent t-test
B. ANOVA
C. Chi-square test
D. Pearson correlation
,Page 2 of 48
Rationale: A chi-square test evaluates associations between categorical variables such as
smoking status and disease presence.
3. Which level of measurement applies to body temperature measured in degrees Celsius?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Rationale: Celsius temperature has equal intervals but lacks a true zero point, making it
interval-level data.
4. A healthcare analyst reports that the probability value for a clinical trial is 0.02. What
does this indicate?
A. The null hypothesis is definitely false
B. The results occurred by chance 98% of the time
C. There is a 2% probability the observed results occurred if the null hypothesis is true
D. The study findings are clinically insignificant
Rationale: A p-value of 0.02 indicates a 2% probability that the observed findings occurred
assuming the null hypothesis is true.
5. A nurse manager calculates the average number of falls per month in a rehabilitation unit.
This is an example of:
A. Inferential statistics
B. Predictive analytics
,Page 3 of 48
C. Epidemiology
D. Descriptive statistics
Rationale: Descriptive statistics summarize and organize data such as averages and frequencies.
6. Which statement best describes a Type I error?
A. Failing to reject a false null hypothesis
B. Incorrectly accepting the null hypothesis
C. Rejecting a true null hypothesis
D. Finding no statistical significance when significance exists
Rationale: A Type I error occurs when a true null hypothesis is incorrectly rejected.
7. In a normal distribution, approximately what percentage of observations fall within one
standard deviation of the mean?
A. 34%
B. 50%
C. 68%
D. 95%
Rationale: The empirical rule states that approximately 68% of observations lie within one
standard deviation of the mean.
8. A public health researcher is studying the incidence of influenza in a population over one
year. Incidence refers to:
A. Total cases at a given time
B. New cases occurring during a specific period
, Page 4 of 48
C. Mortality rates
D. Existing chronic conditions
Rationale: Incidence measures newly occurring cases within a defined timeframe.
9. Which graph is most appropriate for displaying the distribution of continuous blood
pressure readings?
A. Pie chart
B. Bar graph
C. Scatterplot
D. Histogram
Rationale: Histograms effectively display frequency distributions of continuous variables.
10. A clinical trial randomly assigns participants to treatment and control groups primarily to:
A. Increase sample size
B. Reduce participant dropout
C. Minimize selection bias and confounding variables
D. Guarantee external validity
Rationale: Randomization reduces bias and helps equalize confounding variables between
groups.
11. Which measure indicates the spread of data around the mean?
A. Median
B. Mode
