NR.400.717
Application of Biostatistical Methods
for EBP
LATEST MIDTERM EXAM
GUIDE
Q&S
©2024/2025
,1. Which of the following biostatistical methods is most
appropriate for assessing the relationship between a
categorical independent variable and a continuous
dependent variable?
- A) Logistic Regression
- B) Chi-Square Test
- C) ANOVA
- D) Cox Proportional Hazards Model
Answer: C) ANOVA
Rationale : ANOVA (Analysis of Variance) is used to
compare the means of a continuous dependent variable
across different categories of an independent variable.
2. In evidence-based practice, what is the primary
advantage of using a meta-analysis?
- A) It allows for in-depth analysis of a single study.
- B) It reduces heterogeneity between study outcomes.
- C) It increases the statistical power by combining data
from multiple studies.
- D) It eliminates the need for primary research.
Answer: C) It increases the statistical power by
combining data from multiple studies.
Rationale : Meta-analysis increases power and
improves estimates of the size of the effect due to
aggregated data from several studies.
3. Which test would be most appropriate to analyze the
survival time of patients under different treatment protocols?
- A) T-test
©2024/2025
, - B) Kaplan-Meier method
- C) Pearson correlation
- D) McNemar’s test
Answer: B) Kaplan-Meier method
Rationale : The Kaplan-Meier method is a non-
parametric statistic used to estimate the survival function
from lifetime data.
4. In a normal distribution, what percentage of data falls
within ±2 standard deviations from the mean?
- A) 50%
- B) 68%
- C) 95%
- D) 99.7%
Answer: C) 95%
Rationale : According to the empirical rule in a normal
distribution, about 95% of the data falls within ±2 standard
deviations of the mean.
5. Which is an appropriate method to handle missing data in
a dataset when applying biostatistical methods?
- A) Data duplication
- B) Listwise deletion
- C) Segment elimination
- D) Variable omission
Answer: B) Listwise deletion
Rationale : Listwise deletion is a common method for
handling missing data, removing rows with any missing
values for the analysis.
©2024/2025
Application of Biostatistical Methods
for EBP
LATEST MIDTERM EXAM
GUIDE
Q&S
©2024/2025
,1. Which of the following biostatistical methods is most
appropriate for assessing the relationship between a
categorical independent variable and a continuous
dependent variable?
- A) Logistic Regression
- B) Chi-Square Test
- C) ANOVA
- D) Cox Proportional Hazards Model
Answer: C) ANOVA
Rationale : ANOVA (Analysis of Variance) is used to
compare the means of a continuous dependent variable
across different categories of an independent variable.
2. In evidence-based practice, what is the primary
advantage of using a meta-analysis?
- A) It allows for in-depth analysis of a single study.
- B) It reduces heterogeneity between study outcomes.
- C) It increases the statistical power by combining data
from multiple studies.
- D) It eliminates the need for primary research.
Answer: C) It increases the statistical power by
combining data from multiple studies.
Rationale : Meta-analysis increases power and
improves estimates of the size of the effect due to
aggregated data from several studies.
3. Which test would be most appropriate to analyze the
survival time of patients under different treatment protocols?
- A) T-test
©2024/2025
, - B) Kaplan-Meier method
- C) Pearson correlation
- D) McNemar’s test
Answer: B) Kaplan-Meier method
Rationale : The Kaplan-Meier method is a non-
parametric statistic used to estimate the survival function
from lifetime data.
4. In a normal distribution, what percentage of data falls
within ±2 standard deviations from the mean?
- A) 50%
- B) 68%
- C) 95%
- D) 99.7%
Answer: C) 95%
Rationale : According to the empirical rule in a normal
distribution, about 95% of the data falls within ±2 standard
deviations of the mean.
5. Which is an appropriate method to handle missing data in
a dataset when applying biostatistical methods?
- A) Data duplication
- B) Listwise deletion
- C) Segment elimination
- D) Variable omission
Answer: B) Listwise deletion
Rationale : Listwise deletion is a common method for
handling missing data, removing rows with any missing
values for the analysis.
©2024/2025
