WGU C784
APPLIED HEALTHCARE STATISTICS
FINAL ASSESSMENT EXAM
OBJECTIVE ASSESSMENT
Actual Questions and Answers
Page 1 of 41
,Q1. What are the four levels of measurement used to classify data?
A. Nominal, ordinal, interval, and ratio
B. Discrete, continuous, categorical, and numeric
C. Primary, secondary, tertiary, and quaternary
D. Qualitative, quantitative, parametric, and nonparametric
Answer: A. Nominal, ordinal, interval, and ratio
Rationale: Each level allows progressively more mathematical operations;
knowing the level determines which statistical tests and descriptive measures
are appropriate.
Q2. A patient's blood type (A, B, AB, O) is an example of which level of
measurement?
A. Ordinal
B. Interval
C. Nominal
D. Ratio
Answer: C. Nominal
Rationale: Nominal data are categories with no inherent order or numeric
meaning, so blood type can only be counted or classified, not ranked or
averaged meaningfully.
Q3. Pain rated on a 1–10 scale is generally treated as which level of
measurement?
A. Ratio
B. Ordinal
C. Nominal
D. Interval only, never ordinal
Answer: B. Ordinal
Rationale: The categories have a meaningful order (higher = more pain), but
the intervals between ratings are not guaranteed to be equal, which is the
defining feature of ordinal data.
Q4. Body temperature in Celsius is an example of which level of measurement,
and why is it not ratio?
Page 2 of 41
, A. Ratio, because it has a true zero point
B. Interval, because 0°C does not represent a true absence of temperature
C. Ordinal, because temperatures can be ranked from coldest to hottest
D. Nominal, because temperature readings are simply labels
Answer: B. Interval, because 0°C does not represent a true absence of
temperature
Rationale: Interval data have equal intervals between values but lack a true
zero, so ratios such as 'twice as hot' are not meaningful, unlike with ratio-level
data such as Kelvin.
Q5. Why is patient weight in kilograms considered ratio-level data?
A. It has equal intervals but no true zero point
B. It can only be ranked, not measured precisely
C. It has equal intervals between values and a true zero point, so ratios are
meaningful
D. It is a categorical variable with ordered levels
Answer: C. It has equal intervals between values and a true zero point, so
ratios are meaningful
Rationale: Ratio data include all the properties of interval data plus a
meaningful zero, allowing the full range of arithmetic operations including
multiplication and division.
Q6. What distinguishes discrete data from continuous data?
A. Discrete data can only take specific, countable values, while continuous data
can take any value within a range
B. Discrete data are always categorical, while continuous data are always
numeric
C. Discrete data have a true zero, while continuous data do not
D. There is no meaningful distinction between the two
Answer: A. Discrete data can only take specific, countable values, while
continuous data can take any value within a range
Rationale: This distinction affects how data are summarized and graphed —
discrete data often use bar charts, while continuous data commonly use
histograms.
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, Q7. Why does the level of measurement matter when choosing a statistical test?
A. It doesn't; any test can be applied to any type of data
B. Certain statistical tests require specific levels of measurement to produce
valid results
C. It only matters for descriptive statistics, not inferential tests
D. Level of measurement only affects how results are graphed
Answer: B. Certain statistical tests require specific levels of measurement to
produce valid results
Rationale: Applying a test designed for interval/ratio data to nominal or
ordinal data can produce misleading or invalid results.
Q8. Is 'number of ER visits per year' qualitative or quantitative data?
A. Qualitative, because it describes a category of visit
B. Quantitative (discrete)
C. Quantitative (continuous)
D. Qualitative (ordinal)
Answer: B. Quantitative (discrete)
Rationale: Quantitative data represent counts or measurable amounts, and
because ER visits are counted in whole numbers, this variable is discrete.
Q9. What type of data is a patient's marital status classified as (single, married,
divorced, widowed)?
A. Ratio categorical data
B. Interval categorical data
C. Ordinal categorical data
D. Nominal categorical data
Answer: D. Nominal categorical data
Rationale: Marital status categories have no inherent rank or numeric distance
between them, fitting the definition of nominal data.
Q10. Why might a researcher convert continuous data (e.g., exact age) into
ordinal categories (e.g., age groups)?
A. To increase the statistical power of the analysis
B. To simplify analysis and communication, though some precision is lost
Page 4 of 41
APPLIED HEALTHCARE STATISTICS
FINAL ASSESSMENT EXAM
OBJECTIVE ASSESSMENT
Actual Questions and Answers
Page 1 of 41
,Q1. What are the four levels of measurement used to classify data?
A. Nominal, ordinal, interval, and ratio
B. Discrete, continuous, categorical, and numeric
C. Primary, secondary, tertiary, and quaternary
D. Qualitative, quantitative, parametric, and nonparametric
Answer: A. Nominal, ordinal, interval, and ratio
Rationale: Each level allows progressively more mathematical operations;
knowing the level determines which statistical tests and descriptive measures
are appropriate.
Q2. A patient's blood type (A, B, AB, O) is an example of which level of
measurement?
A. Ordinal
B. Interval
C. Nominal
D. Ratio
Answer: C. Nominal
Rationale: Nominal data are categories with no inherent order or numeric
meaning, so blood type can only be counted or classified, not ranked or
averaged meaningfully.
Q3. Pain rated on a 1–10 scale is generally treated as which level of
measurement?
A. Ratio
B. Ordinal
C. Nominal
D. Interval only, never ordinal
Answer: B. Ordinal
Rationale: The categories have a meaningful order (higher = more pain), but
the intervals between ratings are not guaranteed to be equal, which is the
defining feature of ordinal data.
Q4. Body temperature in Celsius is an example of which level of measurement,
and why is it not ratio?
Page 2 of 41
, A. Ratio, because it has a true zero point
B. Interval, because 0°C does not represent a true absence of temperature
C. Ordinal, because temperatures can be ranked from coldest to hottest
D. Nominal, because temperature readings are simply labels
Answer: B. Interval, because 0°C does not represent a true absence of
temperature
Rationale: Interval data have equal intervals between values but lack a true
zero, so ratios such as 'twice as hot' are not meaningful, unlike with ratio-level
data such as Kelvin.
Q5. Why is patient weight in kilograms considered ratio-level data?
A. It has equal intervals but no true zero point
B. It can only be ranked, not measured precisely
C. It has equal intervals between values and a true zero point, so ratios are
meaningful
D. It is a categorical variable with ordered levels
Answer: C. It has equal intervals between values and a true zero point, so
ratios are meaningful
Rationale: Ratio data include all the properties of interval data plus a
meaningful zero, allowing the full range of arithmetic operations including
multiplication and division.
Q6. What distinguishes discrete data from continuous data?
A. Discrete data can only take specific, countable values, while continuous data
can take any value within a range
B. Discrete data are always categorical, while continuous data are always
numeric
C. Discrete data have a true zero, while continuous data do not
D. There is no meaningful distinction between the two
Answer: A. Discrete data can only take specific, countable values, while
continuous data can take any value within a range
Rationale: This distinction affects how data are summarized and graphed —
discrete data often use bar charts, while continuous data commonly use
histograms.
Page 3 of 41
, Q7. Why does the level of measurement matter when choosing a statistical test?
A. It doesn't; any test can be applied to any type of data
B. Certain statistical tests require specific levels of measurement to produce
valid results
C. It only matters for descriptive statistics, not inferential tests
D. Level of measurement only affects how results are graphed
Answer: B. Certain statistical tests require specific levels of measurement to
produce valid results
Rationale: Applying a test designed for interval/ratio data to nominal or
ordinal data can produce misleading or invalid results.
Q8. Is 'number of ER visits per year' qualitative or quantitative data?
A. Qualitative, because it describes a category of visit
B. Quantitative (discrete)
C. Quantitative (continuous)
D. Qualitative (ordinal)
Answer: B. Quantitative (discrete)
Rationale: Quantitative data represent counts or measurable amounts, and
because ER visits are counted in whole numbers, this variable is discrete.
Q9. What type of data is a patient's marital status classified as (single, married,
divorced, widowed)?
A. Ratio categorical data
B. Interval categorical data
C. Ordinal categorical data
D. Nominal categorical data
Answer: D. Nominal categorical data
Rationale: Marital status categories have no inherent rank or numeric distance
between them, fitting the definition of nominal data.
Q10. Why might a researcher convert continuous data (e.g., exact age) into
ordinal categories (e.g., age groups)?
A. To increase the statistical power of the analysis
B. To simplify analysis and communication, though some precision is lost
Page 4 of 41
