WGU D514 ANALYTICAL METHODS OF
HEALTH CARE LEADERS FINAL EXAM
PREPARATION QUESTIONS AND
ANSWERS
1. A healthcare administrator is reviewing patient satisfaction scores across different
departments. If the data is measured on a scale of ‘Very Dissatisfied’ to ‘Very Satisfied’, what
type of data scale is being used?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: B
Conceptual Explanation: Ordinal data represents categories with a logical order or rank,
but the intervals between the ranks are not necessarily equal. Satisfaction scales are classic
examples of ordinal data.
,2. In a study comparing the effectiveness of two different surgical techniques, the p-value is
calculated as 0.03. If the significance level (alpha) is set at 0.05, what should the researcher
conclude?
A. Fail to reject the null hypothesis; there is no significant difference.
B. Reject the null hypothesis; there is a statistically significant difference.
C. The study is invalid due to a low p-value.
D. Accept the null hypothesis; the techniques are identical.
Answer: B
Conceptual Explanation: When the p-value is less than the alpha level (0.03 < 0.05), we
reject the null hypothesis, indicating that the observed difference is statistically significant.
3. Which statistical measure is most sensitive to outliers in a dataset representing hospital
length of stay?
A. Median
B. Mode
C. Interquartile Range
D. Mean
Answer: D
, Conceptual Explanation: The mean (average) is calculated using every value in the
dataset, making it highly susceptible to extreme values or outliers, unlike the median or
mode.
4. An analyst wants to determine if there is a relationship between a patient’s age and their
recovery time in days. Which tool is most appropriate for visualizing this relationship?
A. Histogram
B. Scatter Plot
C. Pareto Chart
D. Control Chart
Answer: B
Conceptual Explanation: A scatter plot is used to display the relationship between two
continuous variables (age and recovery days) and can suggest correlation patterns.
5. What does a R-squared value of 0.85 in a linear regression model indicating the
relationship between staffing levels and patient falls imply?
A. For every 1 unit increase in staffing, falls decrease by 0.85.
B. There is an 85% probability that staffing levels cause falls.
C. The correlation coefficient is 0.85.
D. 85% of the variation in patient falls can be explained by staffing levels.
Answer: D
HEALTH CARE LEADERS FINAL EXAM
PREPARATION QUESTIONS AND
ANSWERS
1. A healthcare administrator is reviewing patient satisfaction scores across different
departments. If the data is measured on a scale of ‘Very Dissatisfied’ to ‘Very Satisfied’, what
type of data scale is being used?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: B
Conceptual Explanation: Ordinal data represents categories with a logical order or rank,
but the intervals between the ranks are not necessarily equal. Satisfaction scales are classic
examples of ordinal data.
,2. In a study comparing the effectiveness of two different surgical techniques, the p-value is
calculated as 0.03. If the significance level (alpha) is set at 0.05, what should the researcher
conclude?
A. Fail to reject the null hypothesis; there is no significant difference.
B. Reject the null hypothesis; there is a statistically significant difference.
C. The study is invalid due to a low p-value.
D. Accept the null hypothesis; the techniques are identical.
Answer: B
Conceptual Explanation: When the p-value is less than the alpha level (0.03 < 0.05), we
reject the null hypothesis, indicating that the observed difference is statistically significant.
3. Which statistical measure is most sensitive to outliers in a dataset representing hospital
length of stay?
A. Median
B. Mode
C. Interquartile Range
D. Mean
Answer: D
, Conceptual Explanation: The mean (average) is calculated using every value in the
dataset, making it highly susceptible to extreme values or outliers, unlike the median or
mode.
4. An analyst wants to determine if there is a relationship between a patient’s age and their
recovery time in days. Which tool is most appropriate for visualizing this relationship?
A. Histogram
B. Scatter Plot
C. Pareto Chart
D. Control Chart
Answer: B
Conceptual Explanation: A scatter plot is used to display the relationship between two
continuous variables (age and recovery days) and can suggest correlation patterns.
5. What does a R-squared value of 0.85 in a linear regression model indicating the
relationship between staffing levels and patient falls imply?
A. For every 1 unit increase in staffing, falls decrease by 0.85.
B. There is an 85% probability that staffing levels cause falls.
C. The correlation coefficient is 0.85.
D. 85% of the variation in patient falls can be explained by staffing levels.
Answer: D
