Assignment: Confidence Intervals and Hypothesis Testing in Medical Scenarios
Confidence intervals (CIs) and hypothesis tests assist healthcare administration leaders in executing decision making for a wide variety of conditions or experiences in a health services organization. Interpreting the significance of the information provided in hypothesis testing can ensure that healthcare administration leaders execute the best and appropriate measures possible to ensure effective healthcare delivery.
For this Assignment, review the resources for this week. Then, review your course text, and complete Problem 66 on page 455 and Case Study 9.4 on pages 459-460. Consider the type of analysis tools you may use to best fit the case study provided.
The Assignment: (3 pages)
· Complete Problem 66 on page 455 of your course text using SPSS.
· Complete Case Study 9.4, "Removing Vioxx From the Market," on pages 459-460 of your course text.
· This case study requires only calculations and analysis of them, so you may complete this case study using any tool you choose.
Submityour answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report.
Reference:
Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning.
- "Confidence Interval Estimation" (pp. 335-400)
- "Hypothesis Testing" (pp. 401-459)