WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q1: What is a key application of descriptive statistics in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Descriptive Statistics allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q2: What is a key application of probability in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Probability allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
Q3: What is a key application of sampling methods in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Sampling Methods allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
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, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q4: What is a key application of hypothesis testing in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Hypothesis Testing allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q5: What is a key application of confidence intervals in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Confidence Intervals allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q6: What is a key application of z-test in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Z-test allows healthcare professionals to interpret patterns, assess variability, and make informed decisions
based on data.
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, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q7: What is a key application of t-test in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: T-test allows healthcare professionals to interpret patterns, assess variability, and make informed decisions
based on data.
Q8: What is a key application of chi-square in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Chi-square allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
Q9: What is a key application of regression in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Regression allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
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, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q10: What is a key application of data visualization in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Data Visualization allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q11: What is a key application of descriptive statistics in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Descriptive Statistics allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q12: What is a key application of probability in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Probability allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
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Q1: What is a key application of descriptive statistics in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Descriptive Statistics allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q2: What is a key application of probability in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Probability allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
Q3: What is a key application of sampling methods in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Sampling Methods allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Page 1
, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q4: What is a key application of hypothesis testing in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Hypothesis Testing allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q5: What is a key application of confidence intervals in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Confidence Intervals allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q6: What is a key application of z-test in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Z-test allows healthcare professionals to interpret patterns, assess variability, and make informed decisions
based on data.
Page 2
, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q7: What is a key application of t-test in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: T-test allows healthcare professionals to interpret patterns, assess variability, and make informed decisions
based on data.
Q8: What is a key application of chi-square in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Chi-square allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
Q9: What is a key application of regression in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Regression allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
Page 3
, WGU C784 - Applied Healthcare Statistics Test Bank (2024)
Q10: What is a key application of data visualization in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Data Visualization allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q11: What is a key application of descriptive statistics in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Descriptive Statistics allows healthcare professionals to interpret patterns, assess variability, and make
informed decisions based on data.
Q12: What is a key application of probability in healthcare data analysis?
A. To create pharmaceutical products
B. To visualize and interpret data accurately
C. To replace clinical expertise
D. To ignore sampling variability
Answer: B
Explanation: Probability allows healthcare professionals to interpret patterns, assess variability, and make informed
decisions based on data.
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