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WGU C784 Applied Healthcare Statistics Objective Assessment 1 (2025–2026) | Comprehensive Study Guide, Practice Questions & Verified Answers for OA Exam Prep

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Comprehensive WGU C784 Applied Healthcare Statistics Objective Assessment 1 study resource featuring verified practice questions and answers covering descriptive statistics, probability, data interpretation, hypothesis testing, sampling methods, confidence intervals, regression analysis, statistical significance, healthcare data analysis, evidence-based practice, and biostatistics concepts essential for the OA. Designed to help students master core healthcare statistics principles through realistic practice questions, detailed answer explanations, and exam-focused review materials that strengthen analytical thinking, statistical reasoning, and confidence for Objective Assessment success. Covers the most frequently tested WGU C784 topics aligned with the Applied Healthcare Statistics curriculum, making it an ideal resource for competency-based learning, course revision, OA preparation, independent study, and comprehensive exam review. Organized in a clear and structured format for efficient self-study, enabling learners to identify knowledge gaps, reinforce key statistical concepts, and maximize exam performance with high-quality, curriculum-aligned review materials. Perfect for WGU students seeking a reliable C784 Applied Healthcare Statistics study guide with comprehensive practice questions, verified answers, and effective exam preparation resources to support academic success and mastery of healthcare statistics.

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WGU C784 Applied Healthcare Statistics
Objective Assessment 1 (2025–2026) |
Comprehensive Study Guide, Practice
Questions & Verified Answers for OA Exam
Prep

WGU C784 Applied Healthcare Statistics Objective Assessment 1 (2025–2026)

Comprehensive Study Guide & Practice Exam



DOCUMENT OVERVIEW:

• This comprehensive practice exam contains 200 carefully constructed multiple-
choice questions designed to simulate the actual WGU C784 OA1 assessment,
covering all major statistical concepts, applications, and healthcare-specific
scenarios you'll encounter on exam day.

• Use this material by working through questions systematically, reviewing
rationales for both correct and incorrect answers to strengthen conceptual
understanding, then retaking challenging sections to build mastery before
attempting the official assessment.




QUESTION 1

A research team is analyzing patient wait times at a clinic. The recorded wait
times (in minutes) for 10 patients are: 15, 22, 18, 25, 20, 15, 30, 18, 22, and 28.
What is the median wait time?

A) 20 minutes

B) 21 minutes

C) 22 minutes

D) 23 minutes

,E) 24 minutes

CORRECT ANSWER: B) 21 minutes

Rationale: To find the median, arrange the data in order: 15, 15, 18, 18, 20, 22, 22,
25, 28, 30. With 10 values (even number), the median is the average of the 5th and
6th values: (20 + 22) ÷ 2 = 21 minutes. The median is the middle value(s) in an
ordered dataset and is less affected by outliers than the mean.



QUESTION 2

A healthcare provider wants to understand the variation in patient
satisfaction scores across three different departments. Which measure would
best describe the spread of scores within each department?

A) The range only

B) The mode exclusively

C) Standard deviation and variance

D) The median alone

E) The interquartile range only

CORRECT ANSWER: C) Standard deviation and variance

Rationale: Standard deviation and variance are the most comprehensive measures
of spread, showing how individual scores deviate from the mean. While range and
interquartile range show spread, standard deviation and variance are more
sensitive to all data points and are more appropriate for comparing variation across
groups in statistical analysis and quality improvement initiatives.



QUESTION 3

In a normally distributed population of patient blood pressure readings, the
mean is 120 mmHg and the standard deviation is 10 mmHg. Approximately
what percentage of readings fall between 110 and 130 mmHg?

,A) 34%

B) 68%

C) 95%

D) 99.7%

E) 50%

CORRECT ANSWER: B) 68%

Rationale: According to the empirical rule (68-95-99.7 rule) for normal
distributions, approximately 68% of data falls within one standard deviation of the
mean. The range 110–130 mmHg represents mean ± 1 SD (120 ± 10), which
encompasses approximately 68% of the population in a normal distribution.



QUESTION 4

A hospital conducts a study to compare recovery times between two
treatment groups. Which statistical test would be most appropriate for
comparing the means of two independent groups?

A) Chi-square test

B) Independent samples t-test

C) Paired t-test

D) ANOVA

E) Correlation analysis

CORRECT ANSWER: B) Independent samples t-test

Rationale: An independent samples t-test is designed to compare the means of
two independent groups and determine if the difference is statistically significant.
Chi-square tests categorical data, paired t-tests compare dependent/matched
samples, ANOVA compares three or more groups, and correlation examines
relationships between variables, not group mean differences.

, QUESTION 5

A researcher collects data on patient age, collected as: <18, 18–30, 31–45, 46–
65, >65. What type of data measurement scale is this?

A) Nominal

B) Ordinal

C) Interval

D) Ratio

E) Continuous

CORRECT ANSWER: B) Ordinal

Rationale: Ordinal data has a natural order or ranking (age groups progress from
youngest to oldest) but the intervals between categories are not equal. Nominal
data has no order, interval data has equal intervals with no true zero, ratio data has
equal intervals with a true zero, and continuous data takes any value within a
range.



QUESTION 6

A healthcare facility wants to estimate the proportion of patients who
experience adverse events. A sample of 500 patients shows 45 adverse events.
What is the point estimate for the proportion?

A) 0.05

B) 0.09

C) 0.15

D) 0.20

E) 0.25

CORRECT ANSWER: B) 0.09

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