WGU D514
Analytical Methods of Healthcare Leaders Practice Exam
Questions & Answers with Detailed Rationales | Objective
Assessment (OA) Study Guide | Latest Exam Prep
THIS EXAM INCLUDES
• Comprehensive WGU D514 practice questions
• Correct answers with detailed rationales
• Healthcare analytics and data interpretation review
• Descriptive and inferential statistics practice
• Hypothesis testing and statistical analysis concepts
• Regression, correlation, ANOVA, chi-square, and t-test review
• Quality improvement and evidence-based practice questions
• Performance measurement and healthcare data analysis
• Objective Assessment (OA) preparation materials
• Easy-to-follow explanations for improved understanding
, WGU D514 Analytical Methods of Healthcare Leaders Practice
Exam Questions & Answers with Detailed Rationales | Objective
Assessment (OA) Study Guide | Latest Exam Prep
1. A physical therapist notices that patients on Workman's Compensation with
supportive supervisors have more positive rehabilitation outcomes than those
with negative supervisors. What type of test could the therapist use to see if these
two factors have a measurable relationship?
• A) ANOVA
• B) Chi-square test
• C) Linear regression
• D) Paired t-test
Answer: C) Linear regression
Explanation: The PDF directly states in item #1 that the therapist should use Linear
regression for this scenario. Additionally, item #121 defines linear regression as
examining the relationship between a dependent variable (rehabilitation outcome) and
one or more independent variables (supervisor attitude and compensation type) to find
the best-fitting line that minimizes the difference between predictive and actual values.
2. Data analysts at a large metropolitan hospital need to determine risk factors
associated with readmission within 30 days among patients with COPD. Variables
include age, gender, race/ethnicity, insurance status, and family support. Which
statistical technique should be used?
• A) ANOVA
• B) Regression analysis
• C) Chi-square test
• D) Time series analysis
Answer: B) Regression analysis
,Explanation: Item #2 explicitly states that for determining risk factors associated with
readmission using multiple variables of interest, the appropriate statistical technique
is Regression analysis. This method allows the analysts to assess how multiple
independent variables (age, gender, race, etc.) collectively influence a single dependent
outcome (readmission).
3. Several community health centers are gathering data on pre-diabetic patients
using A1c levels as a baseline. Three interventions will be applied: special diet,
exercise program, and both diet and exercise. Which statistical test is appropriate
to determine which treatment is most effective?
• A) T-test
• B) Chi-square test
• C) ANOVA
• D) Linear regression
Answer: C) ANOVA
Explanation: Item #3 names ANOVA as the appropriate test for this exact scenario.
Furthermore, item #26 reinforces that ANOVA (analysis of variance) may be used in
research studies where there are two or more groups to compare. Since there are
three distinct intervention groups, ANOVA is the correct choice for comparing their
mean A1c outcomes simultaneously.
4. A hospital CFO is analyzing the cost benefits of a patient reminder system
implemented over a year ago, comparing quarterly reports of "no-show" patients
from last year to this year. What type of analysis is this?
• A) Cross-sectional analysis
• B) Time series analysis
• C) Regression analysis
• D) ANOVA
, Answer: B) Time series analysis
Explanation: Item #4 explicitly identifies this scenario (comparing quarterly reports
from last year to this year to evaluate an automated system) as a time series analysis.
Item #111 defines time series analysis as a sequence of data taken at equally spaced
points in time, such as trending data month to month or quarter to quarter, which
perfectly matches the CFO's quarterly comparison.
5. A researcher proposes comparing cognitive behavioral intervention versus
dietary/biomedical intervention for children with ADHD. Children will be
randomized to one of two groups. Which test is appropriate to determine the
preferable treatment?
• A) Cross-sectional
• B) Longitudinal
• C) ANOVA
• D) Paired t-test
Answer: A) Cross-sectional
Explanation: Item #5 directly labels this exact research design (comparing two
interventions with randomized groups) as Cross-sectional. Item #44 defines a cross-
sectional study (also called a prevalence study) as one that analyzes data collected from
a subset of patients at a specific point in time. Item #112 further confirms that cross-
sectional research analyzes data that comes from a specific point in time.
6. Which descriptive statistic would be most useful for analyzing resources used
by patients who have undergone coronary bypass and length of stays?
• A) The mean (average) length of stay and the mean number of providers seeing
each patient each day
• B) Standard deviation only
• C) Frequency distributions
Analytical Methods of Healthcare Leaders Practice Exam
Questions & Answers with Detailed Rationales | Objective
Assessment (OA) Study Guide | Latest Exam Prep
THIS EXAM INCLUDES
• Comprehensive WGU D514 practice questions
• Correct answers with detailed rationales
• Healthcare analytics and data interpretation review
• Descriptive and inferential statistics practice
• Hypothesis testing and statistical analysis concepts
• Regression, correlation, ANOVA, chi-square, and t-test review
• Quality improvement and evidence-based practice questions
• Performance measurement and healthcare data analysis
• Objective Assessment (OA) preparation materials
• Easy-to-follow explanations for improved understanding
, WGU D514 Analytical Methods of Healthcare Leaders Practice
Exam Questions & Answers with Detailed Rationales | Objective
Assessment (OA) Study Guide | Latest Exam Prep
1. A physical therapist notices that patients on Workman's Compensation with
supportive supervisors have more positive rehabilitation outcomes than those
with negative supervisors. What type of test could the therapist use to see if these
two factors have a measurable relationship?
• A) ANOVA
• B) Chi-square test
• C) Linear regression
• D) Paired t-test
Answer: C) Linear regression
Explanation: The PDF directly states in item #1 that the therapist should use Linear
regression for this scenario. Additionally, item #121 defines linear regression as
examining the relationship between a dependent variable (rehabilitation outcome) and
one or more independent variables (supervisor attitude and compensation type) to find
the best-fitting line that minimizes the difference between predictive and actual values.
2. Data analysts at a large metropolitan hospital need to determine risk factors
associated with readmission within 30 days among patients with COPD. Variables
include age, gender, race/ethnicity, insurance status, and family support. Which
statistical technique should be used?
• A) ANOVA
• B) Regression analysis
• C) Chi-square test
• D) Time series analysis
Answer: B) Regression analysis
,Explanation: Item #2 explicitly states that for determining risk factors associated with
readmission using multiple variables of interest, the appropriate statistical technique
is Regression analysis. This method allows the analysts to assess how multiple
independent variables (age, gender, race, etc.) collectively influence a single dependent
outcome (readmission).
3. Several community health centers are gathering data on pre-diabetic patients
using A1c levels as a baseline. Three interventions will be applied: special diet,
exercise program, and both diet and exercise. Which statistical test is appropriate
to determine which treatment is most effective?
• A) T-test
• B) Chi-square test
• C) ANOVA
• D) Linear regression
Answer: C) ANOVA
Explanation: Item #3 names ANOVA as the appropriate test for this exact scenario.
Furthermore, item #26 reinforces that ANOVA (analysis of variance) may be used in
research studies where there are two or more groups to compare. Since there are
three distinct intervention groups, ANOVA is the correct choice for comparing their
mean A1c outcomes simultaneously.
4. A hospital CFO is analyzing the cost benefits of a patient reminder system
implemented over a year ago, comparing quarterly reports of "no-show" patients
from last year to this year. What type of analysis is this?
• A) Cross-sectional analysis
• B) Time series analysis
• C) Regression analysis
• D) ANOVA
, Answer: B) Time series analysis
Explanation: Item #4 explicitly identifies this scenario (comparing quarterly reports
from last year to this year to evaluate an automated system) as a time series analysis.
Item #111 defines time series analysis as a sequence of data taken at equally spaced
points in time, such as trending data month to month or quarter to quarter, which
perfectly matches the CFO's quarterly comparison.
5. A researcher proposes comparing cognitive behavioral intervention versus
dietary/biomedical intervention for children with ADHD. Children will be
randomized to one of two groups. Which test is appropriate to determine the
preferable treatment?
• A) Cross-sectional
• B) Longitudinal
• C) ANOVA
• D) Paired t-test
Answer: A) Cross-sectional
Explanation: Item #5 directly labels this exact research design (comparing two
interventions with randomized groups) as Cross-sectional. Item #44 defines a cross-
sectional study (also called a prevalence study) as one that analyzes data collected from
a subset of patients at a specific point in time. Item #112 further confirms that cross-
sectional research analyzes data that comes from a specific point in time.
6. Which descriptive statistic would be most useful for analyzing resources used
by patients who have undergone coronary bypass and length of stays?
• A) The mean (average) length of stay and the mean number of providers seeing
each patient each day
• B) Standard deviation only
• C) Frequency distributions
