Confidence Intervals

Confidence Intervals have numerous applications for professional activities. Confidence Intervals have a wide use in defining the outcome of a particular question. The use of confidence levels are used commonly in Health, Business, Politics and Engineering venues. There are three examples that will be recognized as having real world applications regarding confidence intervals.
An Empirical Test of the Black-Scholes (BS) Option pricing model exhibited the use of a confidence interval approach. The BS model is a model used to determine price variation over time such as stock options. The utilization of confidence intervals to determine if the BS model was accurate was concluded “constructing a 95 percent confidence interval for the call
The study identified how long an advertisement should be displayed depending on the duration interval and the confidence interval that helped managers arrive at proper decisions. Using confidence intervals in this situation enabled leaders to make an informed decision.(Franses & Vroomen, 2006)
Through the use of surveys in case study “Mortality rate and confidence interval estimation in humanitarian emergencies” they were able to incorporate confidence intervals. They used confidence intervals to determine the mortality confidence level from surveys in devastated areas. The authors approach enables health officials to identify confidence levels from survey areas to be better prepared for future emergencies. (Sullivan, Hossain, & Woodruff, 2010) There is an infinite amount of ways to use confidence intervals in any professional culture. The three examples are only a small sample of what can actually be done to better understand present or past issues. The use of confidence levels can help any leader or manager make decisions that foster an environment of