WGU C955 PROBABILITY AND
STATISTICS OBJECTIVE ASSESSMENT
EXAM 2026–2027
(60 QUESTIONS AND CORRECT
ANSWERS)
ALREADY GRADED A+ | 100%
VERIFIED
Nursing & Data Analysis | Western Governors University (WGU)
Key Domains: Descriptive Statistics, Probability Distributions, Hypothesis Testing,
Regression Analysis, Data Visualization, and Statistical Inference in Healthcare Contexts
Expert-Aligned Structure | Exam-Ready Format
Introduction
This structured WGU C955 Probability and Statistics Objective Assessment Exam format for
2026–2027 provides the complete layout for generating high-quality exam-style questions
with correct answers and rationales. It emphasizes foundational statistical principles, data
analysis techniques, probability theory, and healthcare-related hypothesis testing critical to
professional nursing data literacy and successful Western Governors University Objective
Assessment completion.
Answer Format
All correct answers appear in bold and cyan, accompanied by concise rationales explaining
statistical/analytical reasoning, methodological adherence, and why alternative options are
less appropriate.
,Question 1: A nurse researcher collects data on patient wait times in an emergency
department. The wait times (in minutes) are: 15, 20, 25, 30, 35, 40, 45, 50, 55, 120. Which
measure of central tendency would best represent the typical wait time?
• A. Mean
• B. Median
• C. Mode
• D. Range
Correct Answer: B
Rationale: The median is the best measure of central tendency when data contains outliers
(like 120 minutes). The mean would be skewed by this extreme value, while the median
(32.5 minutes) represents the middle value and is resistant to outliers. The mode may not
exist or be uninformative, and the range is a measure of dispersion, not central tendency.
Question 2: In a normal distribution of systolic blood pressure readings with a mean of 120
mmHg and standard deviation of 10 mmHg, approximately what percentage of patients
would have readings between 110 and 130 mmHg?
• A. 50%
• B. 68%
• C. 95%
• D. 99.7%
Correct Answer: B
Rationale: According to the empirical rule (68-95-99.7 rule), approximately 68% of values
in a normal distribution fall within one standard deviation of the mean. Since 110-130
represents ±1 standard deviation from the mean of 120, about 68% of patients fall in this
range.
Question 3: A hospital administrator wants to study the relationship between nurse
staffing ratios and patient satisfaction scores. Which statistical test would be most
appropriate?
• A. Chi-square test
• B. Pearson correlation coefficient
• C. Independent t-test
• D. ANOVA
Correct Answer: B
, Rationale: Pearson correlation coefficient measures the linear relationship between two
continuous variables (staffing ratios and satisfaction scores). Chi-square tests categorical
relationships, independent t-test compares means between two groups, and ANOVA
compares means across three or more groups.
Question 4: What is the probability of rolling a sum of 7 with two fair six-sided dice?
• A. 1/12
• B. 1/6
• C. 5/36
• D. 1/36
Correct Answer: B
Rationale: There are 6 ways to roll a sum of 7: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1). With 36
total possible outcomes (6×6), the probability is 6/36 = 1/6.
Question 5: A researcher conducts a hypothesis test and obtains a p-value of 0.03. If the
significance level (α) is set at 0.05, what is the correct conclusion?
• A. Fail to reject the null hypothesis
• B. Reject the null hypothesis
• C. Accept the alternative hypothesis with certainty
• D. The test is inconclusive
Correct Answer: B
Rationale: When p-value (0.03) is less than the significance level α (0.05), we reject the null
hypothesis. This indicates the results are statistically significant. We don't 'accept' the
alternative with certainty (statistics deals with probability, not certainty), and the test is
conclusive.
STATISTICS OBJECTIVE ASSESSMENT
EXAM 2026–2027
(60 QUESTIONS AND CORRECT
ANSWERS)
ALREADY GRADED A+ | 100%
VERIFIED
Nursing & Data Analysis | Western Governors University (WGU)
Key Domains: Descriptive Statistics, Probability Distributions, Hypothesis Testing,
Regression Analysis, Data Visualization, and Statistical Inference in Healthcare Contexts
Expert-Aligned Structure | Exam-Ready Format
Introduction
This structured WGU C955 Probability and Statistics Objective Assessment Exam format for
2026–2027 provides the complete layout for generating high-quality exam-style questions
with correct answers and rationales. It emphasizes foundational statistical principles, data
analysis techniques, probability theory, and healthcare-related hypothesis testing critical to
professional nursing data literacy and successful Western Governors University Objective
Assessment completion.
Answer Format
All correct answers appear in bold and cyan, accompanied by concise rationales explaining
statistical/analytical reasoning, methodological adherence, and why alternative options are
less appropriate.
,Question 1: A nurse researcher collects data on patient wait times in an emergency
department. The wait times (in minutes) are: 15, 20, 25, 30, 35, 40, 45, 50, 55, 120. Which
measure of central tendency would best represent the typical wait time?
• A. Mean
• B. Median
• C. Mode
• D. Range
Correct Answer: B
Rationale: The median is the best measure of central tendency when data contains outliers
(like 120 minutes). The mean would be skewed by this extreme value, while the median
(32.5 minutes) represents the middle value and is resistant to outliers. The mode may not
exist or be uninformative, and the range is a measure of dispersion, not central tendency.
Question 2: In a normal distribution of systolic blood pressure readings with a mean of 120
mmHg and standard deviation of 10 mmHg, approximately what percentage of patients
would have readings between 110 and 130 mmHg?
• A. 50%
• B. 68%
• C. 95%
• D. 99.7%
Correct Answer: B
Rationale: According to the empirical rule (68-95-99.7 rule), approximately 68% of values
in a normal distribution fall within one standard deviation of the mean. Since 110-130
represents ±1 standard deviation from the mean of 120, about 68% of patients fall in this
range.
Question 3: A hospital administrator wants to study the relationship between nurse
staffing ratios and patient satisfaction scores. Which statistical test would be most
appropriate?
• A. Chi-square test
• B. Pearson correlation coefficient
• C. Independent t-test
• D. ANOVA
Correct Answer: B
, Rationale: Pearson correlation coefficient measures the linear relationship between two
continuous variables (staffing ratios and satisfaction scores). Chi-square tests categorical
relationships, independent t-test compares means between two groups, and ANOVA
compares means across three or more groups.
Question 4: What is the probability of rolling a sum of 7 with two fair six-sided dice?
• A. 1/12
• B. 1/6
• C. 5/36
• D. 1/36
Correct Answer: B
Rationale: There are 6 ways to roll a sum of 7: (1,6), (2,5), (3,4), (4,3), (5,2), (6,1). With 36
total possible outcomes (6×6), the probability is 6/36 = 1/6.
Question 5: A researcher conducts a hypothesis test and obtains a p-value of 0.03. If the
significance level (α) is set at 0.05, what is the correct conclusion?
• A. Fail to reject the null hypothesis
• B. Reject the null hypothesis
• C. Accept the alternative hypothesis with certainty
• D. The test is inconclusive
Correct Answer: B
Rationale: When p-value (0.03) is less than the significance level α (0.05), we reject the null
hypothesis. This indicates the results are statistically significant. We don't 'accept' the
alternative with certainty (statistics deals with probability, not certainty), and the test is
conclusive.
