WGU C784 Applied Healthcare Statistics - Final Assessment 2026/2027 70 Questions | A+ Solutions
WGU C784 Applied Healthcare Statistics
2026/2027 Final Assessment Exam - 70 Questions with A+ Solutions
Western Governors University | 100% Original & Verified | Comprehensive Rationales with Step-by-Step Calculations
Total Questions Format Cognitive Levels Question Style Sections
30% Recall 60%
70 Multiple Choice (A-D) 50% Application Calculation/Application 10 Topic Areas
20% Analysis 40% Conceptual
SECTION 1: Introduction to Statistics and Data Types (Descriptive vs.
Inferential, Variables, & Levels of Measurement) (Q1 - Q7)
Cognitive level mix: ~30% recall, ~50% application, ~20% analysis. Focus: descriptive vs. inferential statistics, qualitative vs. quantitative
variables, discrete vs. continuous, and levels of measurement (nominal, ordinal, interval, ratio).
Q1: A hospital administrator collects the average length of stay (in days) for all patients admitted to the
cardiology unit during 2024 and uses this data only to summarize patient stays, not to make predictions about
future admissions. This is an example of:
A. Inferential statistics, because the data is used to make generalizations
B. Descriptive statistics, because the data is used only to summarize and describe the sample without making
inferences about a larger population [CORRECT]
C. Probability theory, because averages require probability calculations
D. Bayesian analysis, because prior information is being updated
Correct Answer: B
Rationale: Descriptive statistics summarize and organize data from a sample or population using measures such as mean, median,
mode, range, and standard deviation, without making inferences about a larger population. Inferential statistics (A) would use
sample data to draw conclusions about a broader population. Probability theory (C) and Bayesian analysis (D) are not appropriate
characterizations of simply summarizing data already collected.
Q2: A nurse researcher records each patient's blood type (A, B, AB, O). This variable is best classified as:
A. Quantitative continuous
B. Quantitative discrete
C. Qualitative nominal [CORRECT]
D. Qualitative ordinal
Correct Answer: C
Rationale: Blood type is a qualitative (categorical) variable with categories that have no inherent order or ranking, making it
nominal level of measurement. Continuous (A) and discrete (B) refer to quantitative variables that are numerical. Ordinal (D)
would imply a meaningful order among categories (e.g., mild/moderate/severe), which does not apply to blood types.
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,WGU C784 Applied Healthcare Statistics - Final Assessment 2026/2027 70 Questions | A+ Solutions
Q3: A researcher classifies pain levels as 'none,' 'mild,' 'moderate,' or 'severe.' This is an example of which level
of measurement?
A. Nominal
B. Ordinal [CORRECT]
C. Interval
D. Ratio
Correct Answer: B
Rationale: Ordinal level data has categories with a meaningful order or ranking (none < mild < moderate < severe), but the
intervals between categories are not equal or measurable. Nominal (A) has no ordering. Interval (C) has equal intervals but no true
zero (e.g., temperature in Celsius). Ratio (D) has equal intervals and a true zero (e.g., weight, height, time).
Q4: Which of the following variables is measured at the ratio level?
A. Body temperature in Celsius
B. Patient satisfaction score on a 1-10 scale
C. Patient weight in kilograms [CORRECT]
D. Calendar year of admission
Correct Answer: C
Rationale: Ratio level data has equal intervals and a true, meaningful zero point, meaning a value of zero represents the complete
absence of the quantity. Weight in kilograms has a true zero (zero weight = no weight), and ratios are meaningful (e.g., 80 kg is
twice 40 kg). Temperature in Celsius (A) is interval (no true zero). Satisfaction scores (B) are ordinal. Calendar year (D) is
interval.
Q5: A clinical trial studies the effect of a new antihypertensive medication on blood pressure. Blood pressure
readings (in mmHg) represent which type of variable?
A. Qualitative nominal
B. Qualitative ordinal
C. Quantitative discrete
D. Quantitative continuous [CORRECT]
Correct Answer: D
Rationale: Blood pressure readings are quantitative (numerical) and continuous, because they can take any value within a range
(e.g., 118.7 mmHg, 122.3 mmHg) and are measured on a continuous scale, not just whole numbers. Nominal (A) and ordinal (B)
are qualitative. Discrete (C) variables take only specific values (often counts, like number of falls).
Q6: A public health official uses data from a sample of 1,000 city residents to estimate the proportion of the
entire city's population that has been vaccinated against influenza. This is an example of:
A. Descriptive statistics only
B. Inferential statistics, because sample data is being used to draw a conclusion about the larger population
[CORRECT]
C. Probability theory only
D. Data visualization
Correct Answer: B
Rationale: Inferential statistics use sample data to make generalizations (inferences) about a larger population. Estimating a
population proportion from a sample proportion is a classic inferential task. Descriptive statistics (A) would only summarize the
1,000 sampled residents. Probability theory (C) and data visualization (D) are tools used in statistics but do not characterize this
generalizing activity.
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, WGU C784 Applied Healthcare Statistics - Final Assessment 2026/2027 70 Questions | A+ Solutions
Q7: A hospital records the number of falls per month on each unit. The variable 'number of falls' is best
classified as:
A. Quantitative discrete [CORRECT]
B. Quantitative continuous
C. Qualitative ordinal
D. Qualitative nominal
Correct Answer: A
Rationale: The number of falls is a quantitative discrete variable because it is numerical but takes only whole-number values (you
cannot have 2.5 falls). Continuous variables (B) can take any value within a range. Ordinal (C) and nominal (D) describe
qualitative (categorical) variables, which 'number of falls' is not.
SECTION 2: Data Collection, Sampling, and Study Design (Sampling Methods,
Bias, & Experimental Design) (Q8 - Q14)
Cognitive level mix: ~30% recall, ~50% application, ~20% analysis. Focus: sampling methods (simple random, stratified, cluster, systematic,
convenience), bias (selection, response, non-response), and study designs (RCT, cohort, case-control, cross-sectional).
Q8: A researcher wants to study patient satisfaction across 5 hospital units. She randomly selects 2 of the 5 units
and surveys every patient on those 2 units. This is an example of:
A. Stratified random sampling
B. Cluster sampling, because naturally occurring groups (units) are randomly selected and all members within
those clusters are surveyed [CORRECT]
C. Systematic sampling
D. Convenience sampling
Correct Answer: B
Rationale: Cluster sampling involves randomly selecting naturally occurring groups (clusters, such as hospital units, schools, or
neighborhoods) and surveying all members within selected clusters. Stratified sampling (A) would divide the population into
strata and sample from each. Systematic (C) selects every kth individual. Convenience (D) uses whoever is easily available,
which is not random.
Q9: A study selects every 20th patient from a list of 1,000 patient records. This sampling method is:
A. Simple random sampling
B. Stratified random sampling
C. Systematic sampling, because individuals are selected at a fixed interval (every 20th) from an ordered list
[CORRECT]
D. Cluster sampling
Correct Answer: C
Rationale: Systematic sampling selects every kth individual from an ordered list, where k is the sampling interval (here, k=20). It
is useful when a complete list is available. Simple random (A) selects entirely by chance. Stratified (B) divides the population into
subgroups. Cluster (D) samples groups rather than individuals.
Western Governors University - 100% Original & Verified Page 3
WGU C784 Applied Healthcare Statistics
2026/2027 Final Assessment Exam - 70 Questions with A+ Solutions
Western Governors University | 100% Original & Verified | Comprehensive Rationales with Step-by-Step Calculations
Total Questions Format Cognitive Levels Question Style Sections
30% Recall 60%
70 Multiple Choice (A-D) 50% Application Calculation/Application 10 Topic Areas
20% Analysis 40% Conceptual
SECTION 1: Introduction to Statistics and Data Types (Descriptive vs.
Inferential, Variables, & Levels of Measurement) (Q1 - Q7)
Cognitive level mix: ~30% recall, ~50% application, ~20% analysis. Focus: descriptive vs. inferential statistics, qualitative vs. quantitative
variables, discrete vs. continuous, and levels of measurement (nominal, ordinal, interval, ratio).
Q1: A hospital administrator collects the average length of stay (in days) for all patients admitted to the
cardiology unit during 2024 and uses this data only to summarize patient stays, not to make predictions about
future admissions. This is an example of:
A. Inferential statistics, because the data is used to make generalizations
B. Descriptive statistics, because the data is used only to summarize and describe the sample without making
inferences about a larger population [CORRECT]
C. Probability theory, because averages require probability calculations
D. Bayesian analysis, because prior information is being updated
Correct Answer: B
Rationale: Descriptive statistics summarize and organize data from a sample or population using measures such as mean, median,
mode, range, and standard deviation, without making inferences about a larger population. Inferential statistics (A) would use
sample data to draw conclusions about a broader population. Probability theory (C) and Bayesian analysis (D) are not appropriate
characterizations of simply summarizing data already collected.
Q2: A nurse researcher records each patient's blood type (A, B, AB, O). This variable is best classified as:
A. Quantitative continuous
B. Quantitative discrete
C. Qualitative nominal [CORRECT]
D. Qualitative ordinal
Correct Answer: C
Rationale: Blood type is a qualitative (categorical) variable with categories that have no inherent order or ranking, making it
nominal level of measurement. Continuous (A) and discrete (B) refer to quantitative variables that are numerical. Ordinal (D)
would imply a meaningful order among categories (e.g., mild/moderate/severe), which does not apply to blood types.
Western Governors University - 100% Original & Verified Page 1
,WGU C784 Applied Healthcare Statistics - Final Assessment 2026/2027 70 Questions | A+ Solutions
Q3: A researcher classifies pain levels as 'none,' 'mild,' 'moderate,' or 'severe.' This is an example of which level
of measurement?
A. Nominal
B. Ordinal [CORRECT]
C. Interval
D. Ratio
Correct Answer: B
Rationale: Ordinal level data has categories with a meaningful order or ranking (none < mild < moderate < severe), but the
intervals between categories are not equal or measurable. Nominal (A) has no ordering. Interval (C) has equal intervals but no true
zero (e.g., temperature in Celsius). Ratio (D) has equal intervals and a true zero (e.g., weight, height, time).
Q4: Which of the following variables is measured at the ratio level?
A. Body temperature in Celsius
B. Patient satisfaction score on a 1-10 scale
C. Patient weight in kilograms [CORRECT]
D. Calendar year of admission
Correct Answer: C
Rationale: Ratio level data has equal intervals and a true, meaningful zero point, meaning a value of zero represents the complete
absence of the quantity. Weight in kilograms has a true zero (zero weight = no weight), and ratios are meaningful (e.g., 80 kg is
twice 40 kg). Temperature in Celsius (A) is interval (no true zero). Satisfaction scores (B) are ordinal. Calendar year (D) is
interval.
Q5: A clinical trial studies the effect of a new antihypertensive medication on blood pressure. Blood pressure
readings (in mmHg) represent which type of variable?
A. Qualitative nominal
B. Qualitative ordinal
C. Quantitative discrete
D. Quantitative continuous [CORRECT]
Correct Answer: D
Rationale: Blood pressure readings are quantitative (numerical) and continuous, because they can take any value within a range
(e.g., 118.7 mmHg, 122.3 mmHg) and are measured on a continuous scale, not just whole numbers. Nominal (A) and ordinal (B)
are qualitative. Discrete (C) variables take only specific values (often counts, like number of falls).
Q6: A public health official uses data from a sample of 1,000 city residents to estimate the proportion of the
entire city's population that has been vaccinated against influenza. This is an example of:
A. Descriptive statistics only
B. Inferential statistics, because sample data is being used to draw a conclusion about the larger population
[CORRECT]
C. Probability theory only
D. Data visualization
Correct Answer: B
Rationale: Inferential statistics use sample data to make generalizations (inferences) about a larger population. Estimating a
population proportion from a sample proportion is a classic inferential task. Descriptive statistics (A) would only summarize the
1,000 sampled residents. Probability theory (C) and data visualization (D) are tools used in statistics but do not characterize this
generalizing activity.
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, WGU C784 Applied Healthcare Statistics - Final Assessment 2026/2027 70 Questions | A+ Solutions
Q7: A hospital records the number of falls per month on each unit. The variable 'number of falls' is best
classified as:
A. Quantitative discrete [CORRECT]
B. Quantitative continuous
C. Qualitative ordinal
D. Qualitative nominal
Correct Answer: A
Rationale: The number of falls is a quantitative discrete variable because it is numerical but takes only whole-number values (you
cannot have 2.5 falls). Continuous variables (B) can take any value within a range. Ordinal (C) and nominal (D) describe
qualitative (categorical) variables, which 'number of falls' is not.
SECTION 2: Data Collection, Sampling, and Study Design (Sampling Methods,
Bias, & Experimental Design) (Q8 - Q14)
Cognitive level mix: ~30% recall, ~50% application, ~20% analysis. Focus: sampling methods (simple random, stratified, cluster, systematic,
convenience), bias (selection, response, non-response), and study designs (RCT, cohort, case-control, cross-sectional).
Q8: A researcher wants to study patient satisfaction across 5 hospital units. She randomly selects 2 of the 5 units
and surveys every patient on those 2 units. This is an example of:
A. Stratified random sampling
B. Cluster sampling, because naturally occurring groups (units) are randomly selected and all members within
those clusters are surveyed [CORRECT]
C. Systematic sampling
D. Convenience sampling
Correct Answer: B
Rationale: Cluster sampling involves randomly selecting naturally occurring groups (clusters, such as hospital units, schools, or
neighborhoods) and surveying all members within selected clusters. Stratified sampling (A) would divide the population into
strata and sample from each. Systematic (C) selects every kth individual. Convenience (D) uses whoever is easily available,
which is not random.
Q9: A study selects every 20th patient from a list of 1,000 patient records. This sampling method is:
A. Simple random sampling
B. Stratified random sampling
C. Systematic sampling, because individuals are selected at a fixed interval (every 20th) from an ordered list
[CORRECT]
D. Cluster sampling
Correct Answer: C
Rationale: Systematic sampling selects every kth individual from an ordered list, where k is the sampling interval (here, k=20). It
is useful when a complete list is available. Simple random (A) selects entirely by chance. Stratified (B) divides the population into
subgroups. Cluster (D) samples groups rather than individuals.
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