D 514 Exam 2 V2 | D 514 Analytical
Methods of Healthcare Leaders | Actual
Q&A with Rationale (D514 Exam 2) |
Western Governors University
1. A healthcare administrator is reviewing a study where the p-value is calculated as 0.02. If
the alpha level is set at 0.05, what is the correct statistical conclusion?
A. Reject the null hypothesis
B. Fail to reject the null hypothesis
C. Accept the null hypothesis
D. Increase the sample size
Answer: A
Rationale: When the p-value is less than the predetermined alpha level, the result is
considered statistically significant. This allows the researcher to reject the null hypothesis
in favor of the alternative hypothesis. In this specific case, 0.02 is clearly below the 0.05
threshold.
2. Which of the following best describes a Type I error in a clinical trial setting?
A. Using the wrong statistical test for the data type
B. Concluding a treatment is not effective when it actually is
C. Failing to detect a significant difference due to small sample size
,D. Concluding a treatment is effective when it actually is not
Answer: D
Rationale: A Type I error occurs when the null hypothesis is rejected even though it is
actually true. This is often referred to as a false positive result in clinical research.
Minimizing this error is crucial to ensure that ineffective treatments are not widely
adopted.
3. A hospital wants to predict patient satisfaction scores based on wait times, staff
friendliness, and facility cleanliness. Which analytical method is most appropriate?
A. Multiple Linear Regression
B. Simple Linear Regression
C. Chi-Square Test of Independence
D. T-test
Answer: A
Rationale: Multiple linear regression is used to model the relationship between one
continuous dependent variable and two or more independent variables. In this scenario,
satisfaction is the dependent variable influenced by three distinct predictors. This method
allows leaders to understand the relative impact of each factor.
4. In a normal distribution, approximately what percentage of data points fall within two
standard deviations of the mean?
A. 68%
, B. 95%
C. 90%
D. 99.7%
Answer: B
Rationale: The empirical rule states that approximately 95% of observations in a normal
distribution fall within two standard deviations of the mean. This range is frequently used
to establish confidence intervals in healthcare statistics. Understanding this distribution
helps leaders identify outliers in clinical processes.
5. A researcher finds a correlation coefficient (r) of -0.85 between nurse staffing levels and
patient fall rates. How should this be interpreted?
A. A strong negative relationship
B. A strong positive relationship
C. A weak negative relationship
D. A weak positive relationship
Answer: A
Rationale: A correlation coefficient of -0.85 indicates a strong inverse relationship
between the two variables. As nurse staffing levels increase, the rate of patient falls tends
to decrease significantly. The proximity of the value to -1.00 confirms the strength of this
linear association.
Methods of Healthcare Leaders | Actual
Q&A with Rationale (D514 Exam 2) |
Western Governors University
1. A healthcare administrator is reviewing a study where the p-value is calculated as 0.02. If
the alpha level is set at 0.05, what is the correct statistical conclusion?
A. Reject the null hypothesis
B. Fail to reject the null hypothesis
C. Accept the null hypothesis
D. Increase the sample size
Answer: A
Rationale: When the p-value is less than the predetermined alpha level, the result is
considered statistically significant. This allows the researcher to reject the null hypothesis
in favor of the alternative hypothesis. In this specific case, 0.02 is clearly below the 0.05
threshold.
2. Which of the following best describes a Type I error in a clinical trial setting?
A. Using the wrong statistical test for the data type
B. Concluding a treatment is not effective when it actually is
C. Failing to detect a significant difference due to small sample size
,D. Concluding a treatment is effective when it actually is not
Answer: D
Rationale: A Type I error occurs when the null hypothesis is rejected even though it is
actually true. This is often referred to as a false positive result in clinical research.
Minimizing this error is crucial to ensure that ineffective treatments are not widely
adopted.
3. A hospital wants to predict patient satisfaction scores based on wait times, staff
friendliness, and facility cleanliness. Which analytical method is most appropriate?
A. Multiple Linear Regression
B. Simple Linear Regression
C. Chi-Square Test of Independence
D. T-test
Answer: A
Rationale: Multiple linear regression is used to model the relationship between one
continuous dependent variable and two or more independent variables. In this scenario,
satisfaction is the dependent variable influenced by three distinct predictors. This method
allows leaders to understand the relative impact of each factor.
4. In a normal distribution, approximately what percentage of data points fall within two
standard deviations of the mean?
A. 68%
, B. 95%
C. 90%
D. 99.7%
Answer: B
Rationale: The empirical rule states that approximately 95% of observations in a normal
distribution fall within two standard deviations of the mean. This range is frequently used
to establish confidence intervals in healthcare statistics. Understanding this distribution
helps leaders identify outliers in clinical processes.
5. A researcher finds a correlation coefficient (r) of -0.85 between nurse staffing levels and
patient fall rates. How should this be interpreted?
A. A strong negative relationship
B. A strong positive relationship
C. A weak negative relationship
D. A weak positive relationship
Answer: A
Rationale: A correlation coefficient of -0.85 indicates a strong inverse relationship
between the two variables. As nurse staffing levels increase, the rate of patient falls tends
to decrease significantly. The proximity of the value to -1.00 confirms the strength of this
linear association.
