D 514 Exam 2 V1 | D 514 Analytical Methods of
Healthcare Leaders | Actual Q&A with Rationale
(D514 Exam 2) | Western Governors University
1. A healthcare leader is analyzing the standard deviation of patient wait times in the
emergency department. What does a high standard deviation primarily indicate about the
data?
A. The wait times are consistently close to the average.
B. The sample size is too small to be statistically significant.
C. The wait times are decreasing over time.
D. The wait times are spread out over a wide range of values.
Correct Answer: D
Explanation: Standard deviation is a measure of the amount of variation or dispersion in a
set of values. A high standard deviation signifies that the data points are far from the mean,
indicating high variability in wait times. This metric is essential for healthcare leaders to
identify inconsistencies in service delivery.
2. In a normal distribution, approximately what percentage of data falls within two standard
deviations of the mean?
A. 95%
B. 68%
,C. 99.7%
D. 50%
Correct Answer: A
Explanation: The Empirical Rule states that for a normal distribution, nearly all data falls
within three standard deviations of the mean. Specifically, 95% of the data points reside
within two standard deviations. Understanding these thresholds allows leaders to identify
outliers that may require clinical investigation.
3. Which type of variable describes data that can be categorized but does not have a specific
numerical value or order, such as patient ethnicity?
A. Ordinal
B. Continuous
C. Nominal
D. Interval
Correct Answer: C
Explanation: Nominal data is a type of categorical data used to label variables without
providing any quantitative value. Examples include gender, hair color, or ethnicity where
the order does not matter. Recognizing data types is the first step in selecting the
appropriate statistical test for healthcare analytics.
, 4. A researcher is conducting a study and sets the alpha level at 0.05. If the calculated p-value
is 0.03, what should the researcher conclude?
A. Reject the null hypothesis.
B. Fail to reject the null hypothesis.
C. The study is invalid due to a low p-value.
D. Increase the sample size to verify the result.
Correct Answer: A
Explanation: When the p-value is less than or equal to the significance level (alpha), the
researcher rejects the null hypothesis. This indicates that the observed effect is statistically
significant and unlikely to have occurred by chance alone. In healthcare, this provides
evidence that a specific intervention may truly be effective.
5. Which error occurs when a healthcare leader rejects a null hypothesis that is actually true?
A. Standard error
B. Type II error
C. Type I error
D. Sampling error
Correct Answer: C
Explanation: A Type I error is also known as a ‘false positive,’ where the null hypothesis is
rejected even though it is correct. This is a critical risk in clinical trials as it could lead to the
Healthcare Leaders | Actual Q&A with Rationale
(D514 Exam 2) | Western Governors University
1. A healthcare leader is analyzing the standard deviation of patient wait times in the
emergency department. What does a high standard deviation primarily indicate about the
data?
A. The wait times are consistently close to the average.
B. The sample size is too small to be statistically significant.
C. The wait times are decreasing over time.
D. The wait times are spread out over a wide range of values.
Correct Answer: D
Explanation: Standard deviation is a measure of the amount of variation or dispersion in a
set of values. A high standard deviation signifies that the data points are far from the mean,
indicating high variability in wait times. This metric is essential for healthcare leaders to
identify inconsistencies in service delivery.
2. In a normal distribution, approximately what percentage of data falls within two standard
deviations of the mean?
A. 95%
B. 68%
,C. 99.7%
D. 50%
Correct Answer: A
Explanation: The Empirical Rule states that for a normal distribution, nearly all data falls
within three standard deviations of the mean. Specifically, 95% of the data points reside
within two standard deviations. Understanding these thresholds allows leaders to identify
outliers that may require clinical investigation.
3. Which type of variable describes data that can be categorized but does not have a specific
numerical value or order, such as patient ethnicity?
A. Ordinal
B. Continuous
C. Nominal
D. Interval
Correct Answer: C
Explanation: Nominal data is a type of categorical data used to label variables without
providing any quantitative value. Examples include gender, hair color, or ethnicity where
the order does not matter. Recognizing data types is the first step in selecting the
appropriate statistical test for healthcare analytics.
, 4. A researcher is conducting a study and sets the alpha level at 0.05. If the calculated p-value
is 0.03, what should the researcher conclude?
A. Reject the null hypothesis.
B. Fail to reject the null hypothesis.
C. The study is invalid due to a low p-value.
D. Increase the sample size to verify the result.
Correct Answer: A
Explanation: When the p-value is less than or equal to the significance level (alpha), the
researcher rejects the null hypothesis. This indicates that the observed effect is statistically
significant and unlikely to have occurred by chance alone. In healthcare, this provides
evidence that a specific intervention may truly be effective.
5. Which error occurs when a healthcare leader rejects a null hypothesis that is actually true?
A. Standard error
B. Type II error
C. Type I error
D. Sampling error
Correct Answer: C
Explanation: A Type I error is also known as a ‘false positive,’ where the null hypothesis is
rejected even though it is correct. This is a critical risk in clinical trials as it could lead to the
