D515 MHA6210 Enterprise Risk Management
Objective Assessment Review (Qns & Ans)
2025
Question 1:
Case Study: A healthcare leader is investigating factors
associated with patient readmissions. The leader gathers a
dataset in which the outcome variable is binary (readmitted:
yes/no) and includes predictors such as age, comorbidity
score, and length of stay.
Question: Which analytical method is most appropriate to
model the likelihood of readmission?
A. Linear Regression
B. Logistic Regression
C. Analysis of Variance (ANOVA)
D. Survival Analysis
©2025
, Correct ANS: B. Logistic Regression
Rationale: Logistic regression is specifically designed for
binary outcome variables. It estimates the probability of an
event (e.g., readmission) occurring based on one or more
predictor variables.
---
Question 2:
Case Study: A healthcare leader must forecast monthly
emergency department visits that display both trends and
seasonal patterns.
Question: Which method should be employed to account
for both the trend and seasonality in the data?
A. Simple Linear Regression
B. Exponential Smoothing
C. Seasonal ARIMA
D. Kaplan–Meier Estimator
Correct ANS: C. Seasonal ARIMA
Rationale: Seasonal ARIMA models extend the classical
ARIMA framework by incorporating seasonal components,
©2025
,making them ideal for forecasting time-series data with
trends and recurring seasonal fluctuations.
---
Question 3:
Case Study: To determine whether a newly implemented
clinical protocol has reduced patient length-of-stay, a
hospital compares paired data from before and after the
intervention within the same units.
Question: Which statistical test is most suitable for
analyzing these paired observations?
A. Independent Samples t-test
B. Chi-Square Test
C. Paired Samples t-test
D. One-Way ANOVA
Correct ANS: C. Paired Samples t-test
Rationale: The paired samples t-test is the appropriate
method when comparing means from two related groups
(e.g., the same hospital units before and after an
intervention), as it accounts for the paired nature of the
data.
©2025
, ---
Question 4:
Case Study: A quality improvement team wishes to
compare patient satisfaction scores across five different
hospital units.
Question: Which statistical method should be used to
ascertain whether there is a significant difference among
the groups?
A. One-Way ANOVA
B. Two-Way ANOVA
C. Multivariate ANOVA (MANOVA)
D. Factor Analysis
Correct ANS: A. One-Way ANOVA
Rationale: One-Way ANOVA is used to compare the
means of three or more independent groups when there is
one independent variable, making it suitable for comparing
multiple hospital units.
---
Question 5:
©2025
Objective Assessment Review (Qns & Ans)
2025
Question 1:
Case Study: A healthcare leader is investigating factors
associated with patient readmissions. The leader gathers a
dataset in which the outcome variable is binary (readmitted:
yes/no) and includes predictors such as age, comorbidity
score, and length of stay.
Question: Which analytical method is most appropriate to
model the likelihood of readmission?
A. Linear Regression
B. Logistic Regression
C. Analysis of Variance (ANOVA)
D. Survival Analysis
©2025
, Correct ANS: B. Logistic Regression
Rationale: Logistic regression is specifically designed for
binary outcome variables. It estimates the probability of an
event (e.g., readmission) occurring based on one or more
predictor variables.
---
Question 2:
Case Study: A healthcare leader must forecast monthly
emergency department visits that display both trends and
seasonal patterns.
Question: Which method should be employed to account
for both the trend and seasonality in the data?
A. Simple Linear Regression
B. Exponential Smoothing
C. Seasonal ARIMA
D. Kaplan–Meier Estimator
Correct ANS: C. Seasonal ARIMA
Rationale: Seasonal ARIMA models extend the classical
ARIMA framework by incorporating seasonal components,
©2025
,making them ideal for forecasting time-series data with
trends and recurring seasonal fluctuations.
---
Question 3:
Case Study: To determine whether a newly implemented
clinical protocol has reduced patient length-of-stay, a
hospital compares paired data from before and after the
intervention within the same units.
Question: Which statistical test is most suitable for
analyzing these paired observations?
A. Independent Samples t-test
B. Chi-Square Test
C. Paired Samples t-test
D. One-Way ANOVA
Correct ANS: C. Paired Samples t-test
Rationale: The paired samples t-test is the appropriate
method when comparing means from two related groups
(e.g., the same hospital units before and after an
intervention), as it accounts for the paired nature of the
data.
©2025
, ---
Question 4:
Case Study: A quality improvement team wishes to
compare patient satisfaction scores across five different
hospital units.
Question: Which statistical method should be used to
ascertain whether there is a significant difference among
the groups?
A. One-Way ANOVA
B. Two-Way ANOVA
C. Multivariate ANOVA (MANOVA)
D. Factor Analysis
Correct ANS: A. One-Way ANOVA
Rationale: One-Way ANOVA is used to compare the
means of three or more independent groups when there is
one independent variable, making it suitable for comparing
multiple hospital units.
---
Question 5:
©2025
