OBJECTIVE ASSESSMENT - EXAM
Applied Healthcare Statistics Exam | Questions and Answers
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Exam
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QUESTIONS VERIFIED ANSWERS EDITION
TOPICS COVERED
Descriptive Statistics Correlation & Regression
Probability & Distributions Statistical Inference & Decision-Making
Hypothesis Testing
COVER PAGE - 1
, SECTION 1 | Descriptive Statistics | Q1-Q15 | Applied Healthcare Statistics Exam | Questions and Answers Rated A+ |
2026/2027 Guide 2026/2027 - 2026/2027 Official Exam 2026/2027
Q1 Question 1 of 75
A hospital quality analyst records the length of stay in days for 12 patients discharged from a cardiac unit and
wants a single value that represents the center of the distribution while being least affected by an unusually
long 28-day stay. Which measure of central tendency is most appropriate?
A. Median
B. Mean
C. Mode
D. Range
Correct Answer: A
Rationale:
The median is the middle value in an ordered dataset and is resistant to outliers such as the 28-day stay, making it the best
choice for skewed data. The mean is pulled toward extreme values, the mode only identifies the most frequent value and
may not represent the center, and the range measures spread rather than central tendency. The median best balances
representativeness and outlier resistance.
Q2 Question 2 of 75
A nurse manager reviews the ages of 50 patients admitted to a medical-surgical unit and finds that the most
frequently occurring age is 68, appearing 8 times. No other age appears as often. Which measure of central
tendency does this value represent?
A. Median
B. Mode
C. Mean
D. Standard deviation
Correct Answer: B
Rationale:
The mode is the value that appears most often in a dataset, so 68 with eight occurrences represents the mode. The median
is the middle value, the mean is the arithmetic average, and standard deviation measures dispersion. The mode specifically
identifies the most frequent observation.
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, Q3 Question 3 of 75
A researcher calculates that the mean blood pressure of 100 hypertensive patients is 148 mmHg with a
standard deviation of 12 mmHg. Assuming an approximately normal distribution, approximately what
percentage of patients have blood pressures between 136 and 160 mmHg?
A. 50 percent
B. 75 percent
C. 68 percent
D. 95 percent
Correct Answer: C
Rationale:
The empirical rule states that approximately 68 percent of values in a normal distribution fall within one standard deviation of
the mean. The range 136 to 160 mmHg is one standard deviation below and above the mean of 148. Two standard
deviations would capture 95 percent, and 50 percent is the interquartile concept. One standard deviation covers about 68
percent.
Q4 Question 4 of 75
A public health officer tracks influenza cases reported weekly during a 13-week outbreak and wants to
display the trend over time. Which graphical display is most appropriate for showing how case counts
change across consecutive weeks?
A. Pie chart
B. Histogram
C. Scatter plot
D. Line graph
Correct Answer: D
Rationale:
A line graph displays trends over time by connecting consecutive data points, making it ideal for tracking weekly influenza
cases. A pie chart shows proportions of a whole, a histogram shows frequency distribution of a continuous variable, and a
scatter plot shows the relationship between two variables. Time-series data is best shown as a line graph.
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, Q5 Question 5 of 75
A clinic collects body mass index values from 200 adult patients and groups them into intervals of five units
each, such as 18-22, 23-27, and 28-32. The analyst wants to visualize the frequency distribution of these
grouped values. Which display is most appropriate?
A. Histogram
B. Bar chart
C. Pie chart
D. Box plot
Correct Answer: A
Rationale:
A histogram displays the frequency distribution of a continuous variable grouped into bins, with adjacent bars representing
intervals. A bar chart compares discrete categories, a pie chart shows proportions of a whole, and a box plot summarizes
five statistics. Grouped continuous BMI data is best shown as a histogram.
Q6 Question 6 of 75
A statistician computes the variance of a dataset of 9 systolic blood pressure readings and obtains a value of
144. What is the standard deviation of this dataset?
A. 12 squared
B. 12 mmHg
C. 144 mmHg
D. 72 mmHg
Correct Answer: B
Rationale:
Standard deviation is the square root of variance, so the square root of 144 equals 12. Variance is measured in squared
units, while standard deviation returns to the original unit. The value 72 is half the variance and has no statistical meaning
here. The standard deviation is 12 mmHg.
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