Wgu C784 Applied Healthcare Statistics Objective Assessment
Study Guide With Original Practice Questions And Correct
Answers Plus Rationales| Instant Download
This exam assesses competency in descriptive statistics and data types within healthcare contexts, including
measures of central tendency, dispersion, data classification, and graphical interpretation. It emphasizes applied
reasoning and interpretation of statistical summaries as used in evidence-based practice. It contains 150
multiple-choice questions, each with four distractors and a fully worked rationale that explains why the keyed
answer is correct. Content is organized into 9 focused sections: Descriptive Statistics and Data Types, Data
Collection, Sampling, and Study Design, Probability and Probability Distributions, Normal Distribution and the
Central Limit Theorem, Confidence Intervals and Estimation, Hypothesis Testing and Statistical Significance,
Correlation and Linear Regression, Interpreting and Critiquing Healthcare Research and Statistics, Applying
Statistics to Evidence-Based Healthcare Practice. Targeted learning outcomes include: Classify healthcare data
by type and scale of measurement to select appropriate statistical methods.; Compute and interpret measures of
central tendency and dispersion for healthcare datasets.; Evaluate the impact of outliers, skewness, and data
distribution on descriptive summaries.. Every item has been reviewed for clinical accuracy, current guidelines,
and clarity so that students can study with confidence and self-correct as they work through the bank. Use it as a
high-yield review immediately before the exam, or as a structured practice tool during the unit - the rationales
double as concise teaching notes. The recommended writing time is 2 hours, with a passing score of 80%
Section 1: Descriptive Statistics and Data Types (Questions 1-17)
1 Which measure of central tendency is most appropriate for a skewed
healthcare cost distribution?
A) Mean
B) Median
C) Mode
D) Range
Answer: B
Rationale: The median is resistant to outliers and skewness, making it the
preferred measure for skewed distributions like healthcare costs. The mean is
sensitive to extreme values, the mode may not be unique or central, and the
range is a measure of dispersion, not central tendency.
2 A dataset of hospital wait times has a standard deviation of 0 but varying
recorded times. What does this imply?
A) All wait times are identical.
B) The mean equals the median.
C) There is a calculation error.
D) The data are normally distributed.
,Answer: C
Rationale: A standard deviation of zero indicates all values are identical; if
recorded times vary, the standard deviation cannot be zero, implying a
calculation error. The other options are not necessarily true: mean equals
median can occur with skew, normal distribution requires nonzero SD, and
identical values contradict varying times.
3 Which graphical display is best for showing the distribution of a continuous
variable like BMI?
A) Bar chart
B) Histogram
C) Pie chart
D) Stem-and-leaf plot
Answer: B
Rationale: Histograms are designed for continuous data to show frequency
distribution across intervals. Bar charts and pie charts are for categorical data,
and stem-and-leaf plots are less effective for large datasets and continuous
variables.
4 In a dataset of patient ages, the interquartile range (IQR) is 20 years. What
does this indicate?
A) The middle 50% of ages span 20 years.
B) The average age is 20 years.
C) The range of all ages is 20 years.
D) The standard deviation is 20 years.
Answer: A
Rationale: The IQR represents the range of the middle 50% of data, so an IQR
of 20 years means the middle half of ages differ by 20 years. It does not
indicate the mean, total range, or standard deviation.
5 Which level of measurement is blood type (A, B, AB, O)?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Answer: A
,Rationale: Blood type is categorical with no inherent order, so it is nominal.
Ordinal implies order, interval and ratio require numerical differences, and
ratio requires a true zero, none of which apply.
6 A study reports a mean systolic blood pressure of 120 mmHg with a standard
deviation of 10. What is the coefficient of variation?
A) 8.33%
B) 10%
C) 12%
D) 120%
Answer: A
Rationale: Coefficient of variation = (SD/mean)×100 = (10/120)×100 "H 8.33%.
The other options misapply the formula or confuse with other measures.
7 Which statement about the median is true for an even number of
observations?
A) It is the average of the two middle values.
B) It is the lower of the two middle values.
C) It is the higher of the two middle values.
D) It cannot be determined.
Answer: A
Rationale: For an even number of observations, the median is the mean of the
two central values after ordering. The other options incorrectly select one
middle value or claim indeterminacy.
8 A dataset has a mean of 50 and median of 40. What does this suggest about
the distribution?
A) Positively skewed
B) Negatively skewed
C) Symmetric
D) Bimodal
Answer: A
Rationale: When the mean exceeds the median, the distribution is typically
positively skewed due to high outliers pulling the mean upward. Negative skew
would have mean < median, symmetric would have mean median, and
bimodality is unrelated.
, 9 Which measure is most affected by extreme outliers in a dataset?
A) Median
B) Mode
C) Mean
D) Interquartile range
Answer: C
Rationale: The mean incorporates all values, so extreme outliers can
disproportionately affect it. The median and IQR are robust, and the mode is
not influenced by outliers.
10 Which type of data is number of hospital admissions per day?
A) Discrete quantitative
B) Continuous quantitative
C) Ordinal
D) Nominal
Answer: A
Rationale: Admissions are counted in whole numbers, making them discrete
quantitative. Continuous data can take any value, ordinal involves order, and
nominal is categorical without order.
11 A dataset of hospital LOS has mean 8, median 5, mode 3. Which measure
best represents typical LOS?
A) Mean, because it uses all observations
B) Median, because the distribution is right-skewed
C) Mode, because it is the most frequent value
D) Range, because it captures variability
Answer: B
Rationale: Mean > median > mode indicates strong right skew; the median
resists outlier influence and better reflects a typical stay. The mean is pulled
upward by long stays, the mode ignores most data, and range is a dispersion
measure, not central tendency.
12 Which variable classification is correct for blood type, pain score (0-10),
and wait time in minutes?
A) Nominal, ordinal, ratio
B) Ordinal, interval, ratio
Study Guide With Original Practice Questions And Correct
Answers Plus Rationales| Instant Download
This exam assesses competency in descriptive statistics and data types within healthcare contexts, including
measures of central tendency, dispersion, data classification, and graphical interpretation. It emphasizes applied
reasoning and interpretation of statistical summaries as used in evidence-based practice. It contains 150
multiple-choice questions, each with four distractors and a fully worked rationale that explains why the keyed
answer is correct. Content is organized into 9 focused sections: Descriptive Statistics and Data Types, Data
Collection, Sampling, and Study Design, Probability and Probability Distributions, Normal Distribution and the
Central Limit Theorem, Confidence Intervals and Estimation, Hypothesis Testing and Statistical Significance,
Correlation and Linear Regression, Interpreting and Critiquing Healthcare Research and Statistics, Applying
Statistics to Evidence-Based Healthcare Practice. Targeted learning outcomes include: Classify healthcare data
by type and scale of measurement to select appropriate statistical methods.; Compute and interpret measures of
central tendency and dispersion for healthcare datasets.; Evaluate the impact of outliers, skewness, and data
distribution on descriptive summaries.. Every item has been reviewed for clinical accuracy, current guidelines,
and clarity so that students can study with confidence and self-correct as they work through the bank. Use it as a
high-yield review immediately before the exam, or as a structured practice tool during the unit - the rationales
double as concise teaching notes. The recommended writing time is 2 hours, with a passing score of 80%
Section 1: Descriptive Statistics and Data Types (Questions 1-17)
1 Which measure of central tendency is most appropriate for a skewed
healthcare cost distribution?
A) Mean
B) Median
C) Mode
D) Range
Answer: B
Rationale: The median is resistant to outliers and skewness, making it the
preferred measure for skewed distributions like healthcare costs. The mean is
sensitive to extreme values, the mode may not be unique or central, and the
range is a measure of dispersion, not central tendency.
2 A dataset of hospital wait times has a standard deviation of 0 but varying
recorded times. What does this imply?
A) All wait times are identical.
B) The mean equals the median.
C) There is a calculation error.
D) The data are normally distributed.
,Answer: C
Rationale: A standard deviation of zero indicates all values are identical; if
recorded times vary, the standard deviation cannot be zero, implying a
calculation error. The other options are not necessarily true: mean equals
median can occur with skew, normal distribution requires nonzero SD, and
identical values contradict varying times.
3 Which graphical display is best for showing the distribution of a continuous
variable like BMI?
A) Bar chart
B) Histogram
C) Pie chart
D) Stem-and-leaf plot
Answer: B
Rationale: Histograms are designed for continuous data to show frequency
distribution across intervals. Bar charts and pie charts are for categorical data,
and stem-and-leaf plots are less effective for large datasets and continuous
variables.
4 In a dataset of patient ages, the interquartile range (IQR) is 20 years. What
does this indicate?
A) The middle 50% of ages span 20 years.
B) The average age is 20 years.
C) The range of all ages is 20 years.
D) The standard deviation is 20 years.
Answer: A
Rationale: The IQR represents the range of the middle 50% of data, so an IQR
of 20 years means the middle half of ages differ by 20 years. It does not
indicate the mean, total range, or standard deviation.
5 Which level of measurement is blood type (A, B, AB, O)?
A) Nominal
B) Ordinal
C) Interval
D) Ratio
Answer: A
,Rationale: Blood type is categorical with no inherent order, so it is nominal.
Ordinal implies order, interval and ratio require numerical differences, and
ratio requires a true zero, none of which apply.
6 A study reports a mean systolic blood pressure of 120 mmHg with a standard
deviation of 10. What is the coefficient of variation?
A) 8.33%
B) 10%
C) 12%
D) 120%
Answer: A
Rationale: Coefficient of variation = (SD/mean)×100 = (10/120)×100 "H 8.33%.
The other options misapply the formula or confuse with other measures.
7 Which statement about the median is true for an even number of
observations?
A) It is the average of the two middle values.
B) It is the lower of the two middle values.
C) It is the higher of the two middle values.
D) It cannot be determined.
Answer: A
Rationale: For an even number of observations, the median is the mean of the
two central values after ordering. The other options incorrectly select one
middle value or claim indeterminacy.
8 A dataset has a mean of 50 and median of 40. What does this suggest about
the distribution?
A) Positively skewed
B) Negatively skewed
C) Symmetric
D) Bimodal
Answer: A
Rationale: When the mean exceeds the median, the distribution is typically
positively skewed due to high outliers pulling the mean upward. Negative skew
would have mean < median, symmetric would have mean median, and
bimodality is unrelated.
, 9 Which measure is most affected by extreme outliers in a dataset?
A) Median
B) Mode
C) Mean
D) Interquartile range
Answer: C
Rationale: The mean incorporates all values, so extreme outliers can
disproportionately affect it. The median and IQR are robust, and the mode is
not influenced by outliers.
10 Which type of data is number of hospital admissions per day?
A) Discrete quantitative
B) Continuous quantitative
C) Ordinal
D) Nominal
Answer: A
Rationale: Admissions are counted in whole numbers, making them discrete
quantitative. Continuous data can take any value, ordinal involves order, and
nominal is categorical without order.
11 A dataset of hospital LOS has mean 8, median 5, mode 3. Which measure
best represents typical LOS?
A) Mean, because it uses all observations
B) Median, because the distribution is right-skewed
C) Mode, because it is the most frequent value
D) Range, because it captures variability
Answer: B
Rationale: Mean > median > mode indicates strong right skew; the median
resists outlier influence and better reflects a typical stay. The mean is pulled
upward by long stays, the mode ignores most data, and range is a dispersion
measure, not central tendency.
12 Which variable classification is correct for blood type, pain score (0-10),
and wait time in minutes?
A) Nominal, ordinal, ratio
B) Ordinal, interval, ratio
