Thinking of the many variables tracked by hospitals and doctors' offices, confidence intervals could be created for population parameters (such as means or proportions) that were calculated from many of them. Choose a topic of study that is tracked (or that you would like to see tracked) from your place of work. Discuss the variable and parameter (mean or proportion) you chose, and explain why you would use these to create interval that captures the true value of the parameter of patients with 95% confidence.

Consider the following:

How would changing the confidence interval to 90% or 99% affect the study? Which of these values (90%, 95%, or 99%) would best suit the confidence level according to the type of study chosen? How might the study findings be presented to those in charge in an attempt to affect change at the workplace?

In my field, we can monitor healthy weight of soldiers being deployed. I weighted 20 soldiers. Patients weight range from 54.9 kg to 71.3 kg. Age range from 19-26

Sample range is between =

Sample size=

Sample Mean =

Sample Standard Deviation =

Margin of Error =

for confidence level 90% the parameters will be

for confidence level 95% the parameters will be

for confidence level 99% the parameters will be