1|Page
AGACNP 106 DOCUMENT EXAM MASTERY
2026
## COMPLETE PRACTICE TEST BANK WITH
DETAILED RATIONALES
# TABLE OF CONTENTS
| Section | Topic Area | Questions |
|---------|------------|-----------|
| **Section 1** | Research & Evidence-Based Practice | 1-20 |
| **Section 2** | Professional Practice, Ethics & Legal Issues | 21-40 |
| **Section 3** | Pulmonary & Critical Care | 41-60 |
| **Section 4** | Cardiology & Hemodynamics | 61-80 |
| **Section 5** | Infectious Disease & Sepsis | 81-100 |
| **Section 6** | Endocrinology & Metabolic Disorders | 101-120 |
| **Section 7** | Neurology | 121-140 |
| **Section 8** | Renal & Electrolytes | 141-155 |
| **Section 9** | Hematology & Oncology | 156-170 |
| **Section 10** | Gastroenterology | 171-185 |
| **Section 11** | Pharmacology & Medication Safety | 186-200 |
| **Section 12** | Comprehensive Clinical Scenarios | 201-225 |
,2|Page
# SECTION 1: RESEARCH & EVIDENCE-BASED PRACTICE (Questions
1-20)
**Question 1**
A researcher is evaluating a new diagnostic test for sepsis. If the test correctly
identifies 95% of patients who have sepsis, this represents:
A. Sensitivity
B. Specificity
C. Positive predictive value
D. Negative predictive value
---
**Answer: A. Sensitivity**
**Rationale:** Sensitivity is the proportion of patients with a disease who test
positive—it measures the test's ability to correctly identify those with the condition
(true positives) . A sensitivity of 95% means the test correctly identifies 95% of
patients who actually have sepsis.
**Wrong Answers Explanation:**
- **B. Specificity:** Measures true negatives—patients without the disease who
test negative .
- **C. Positive predictive value:** The probability that patients with a positive test
actually have the disease.
,3|Page
- **D. Negative predictive value:** The probability that patients with a negative
test truly do not have the disease.
---
**Question 2**
Which of the following describes a Type I error in research?
A. Incorrectly rejecting the null hypothesis when it is true
B. Failing to reject the null hypothesis when it is false
C. A false negative result
D. Failing to detect a true relationship
---
**Answer: A. Incorrectly rejecting the null hypothesis when it is true**
**Rationale:** A Type I error (false positive) occurs when the null hypothesis is
rejected even though it is actually true. This means the researcher concludes there
is a significant relationship when none exists in reality .
**Wrong Answers Explanation:**
- **B. Failing to reject the null hypothesis when it is false:** This is a Type II error
(false negative).
- **C. A false negative result:** Also describes a Type II error.
, 4|Page
- **D. Failing to detect a true relationship:** This is a Type II error.
---
**Question 3**
A study reports a p-value of 0.03. Which interpretation is correct?
A. There is a 3% probability that the null hypothesis is false
B. The results are statistically significant at the 0.05 level
C. There is a 97% chance the null hypothesis is true
D. The null hypothesis cannot be rejected
---
**Answer: B. The results are statistically significant at the 0.05 level**
**Rationale:** A p-value less than 0.05 indicates that the results are statistically
significant and unlikely to have occurred by chance. With p = 0.03, there is only a
3% probability that the observed results would occur if the null hypothesis were
true, allowing rejection of the null hypothesis .
**Wrong Answers Explanation:**
- **A. There is a 3% probability that the null hypothesis is false:** The p-value
does not directly state the probability that the null is false.
- **C. There is a 97% chance the null hypothesis is true:** Incorrect interpretation.
AGACNP 106 DOCUMENT EXAM MASTERY
2026
## COMPLETE PRACTICE TEST BANK WITH
DETAILED RATIONALES
# TABLE OF CONTENTS
| Section | Topic Area | Questions |
|---------|------------|-----------|
| **Section 1** | Research & Evidence-Based Practice | 1-20 |
| **Section 2** | Professional Practice, Ethics & Legal Issues | 21-40 |
| **Section 3** | Pulmonary & Critical Care | 41-60 |
| **Section 4** | Cardiology & Hemodynamics | 61-80 |
| **Section 5** | Infectious Disease & Sepsis | 81-100 |
| **Section 6** | Endocrinology & Metabolic Disorders | 101-120 |
| **Section 7** | Neurology | 121-140 |
| **Section 8** | Renal & Electrolytes | 141-155 |
| **Section 9** | Hematology & Oncology | 156-170 |
| **Section 10** | Gastroenterology | 171-185 |
| **Section 11** | Pharmacology & Medication Safety | 186-200 |
| **Section 12** | Comprehensive Clinical Scenarios | 201-225 |
,2|Page
# SECTION 1: RESEARCH & EVIDENCE-BASED PRACTICE (Questions
1-20)
**Question 1**
A researcher is evaluating a new diagnostic test for sepsis. If the test correctly
identifies 95% of patients who have sepsis, this represents:
A. Sensitivity
B. Specificity
C. Positive predictive value
D. Negative predictive value
---
**Answer: A. Sensitivity**
**Rationale:** Sensitivity is the proportion of patients with a disease who test
positive—it measures the test's ability to correctly identify those with the condition
(true positives) . A sensitivity of 95% means the test correctly identifies 95% of
patients who actually have sepsis.
**Wrong Answers Explanation:**
- **B. Specificity:** Measures true negatives—patients without the disease who
test negative .
- **C. Positive predictive value:** The probability that patients with a positive test
actually have the disease.
,3|Page
- **D. Negative predictive value:** The probability that patients with a negative
test truly do not have the disease.
---
**Question 2**
Which of the following describes a Type I error in research?
A. Incorrectly rejecting the null hypothesis when it is true
B. Failing to reject the null hypothesis when it is false
C. A false negative result
D. Failing to detect a true relationship
---
**Answer: A. Incorrectly rejecting the null hypothesis when it is true**
**Rationale:** A Type I error (false positive) occurs when the null hypothesis is
rejected even though it is actually true. This means the researcher concludes there
is a significant relationship when none exists in reality .
**Wrong Answers Explanation:**
- **B. Failing to reject the null hypothesis when it is false:** This is a Type II error
(false negative).
- **C. A false negative result:** Also describes a Type II error.
, 4|Page
- **D. Failing to detect a true relationship:** This is a Type II error.
---
**Question 3**
A study reports a p-value of 0.03. Which interpretation is correct?
A. There is a 3% probability that the null hypothesis is false
B. The results are statistically significant at the 0.05 level
C. There is a 97% chance the null hypothesis is true
D. The null hypothesis cannot be rejected
---
**Answer: B. The results are statistically significant at the 0.05 level**
**Rationale:** A p-value less than 0.05 indicates that the results are statistically
significant and unlikely to have occurred by chance. With p = 0.03, there is only a
3% probability that the observed results would occur if the null hypothesis were
true, allowing rejection of the null hypothesis .
**Wrong Answers Explanation:**
- **A. There is a 3% probability that the null hypothesis is false:** The p-value
does not directly state the probability that the null is false.
- **C. There is a 97% chance the null hypothesis is true:** Incorrect interpretation.
