The 2017 version of the Broselow Tape incorporates revised length weight zones based on the most recent National Health and Nutrition Examination Survey (NHANES) data set. *If the healthcare provider incorporates a visual estimate of body habitus into the prediction, the accuracy of the estimate of actual patient weight is improved as confirmed in multiple studies.
Confidence intervals provide more information than point estimates. Confidence intervals for means are intervals constructed using a procedure (presented in the next section) that will contain the population mean a specified proportion of the time, typically either 95% or 99% of the time.
Associated with a confidence interval there is a confidence level or confidence coefficient. It is to be noted that the interval estimation and testing of hypothesis are two parallel developments in Statistics. It is easy to see the following result. Confidence level of a confidence interval = 1 - significance level of the associated test. i.e. Confidence level of a confidence interval = 1- Î±, where Î± is the significance level of the associated test. To make the concepts clear first, I will provide the procedure for finding a confidence interval and test construction: