Required Resources Read/review the following resources for this activity: Textbo

Required Resources
Read/review the following resources for this activity:
Textbook: Chapter 8– https://openstax.org/books/introductory-business-statistics/pages/8-introduction
Minimum of 1 scholarly source other than textbook
In your reference for this assignment, be sure to include both your text/class materials AND your outside reading(s).
Confidence Intervals
In everyday terms, a confidence interval is the range of values
around a sample statistic (such as mean or proportion) within which
clinicians can expect to get the same results if they repeat the study
protocol or intervention, including measuring the same outcomes the same
ways. As you ask yourself, “Will I get the same results if I use this
research?”, you must address the precision of study findings, which is
determined by the Confidence Interval. If the CI around the sample
statistic is narrow, you can be confident you will get close to the same
results if you implement the same research in your practice.
Consider the following example. Suppose that you did a systematic
review of studies on the effect of tai chi exercise on sleep quality,
and you found that tai chi affected sleep quality in older people. If,
according to your study, you found the lower boundary of the CI to be
.49, the study statistic to be 0.87, and the upper boundary to be 1.25,
this would mean that each end limit is 0.38 from the sample statistic,
which is a relatively narrow CI.
(UB + LB)/2 = Statistic [(1.25 + .49)/2 = .87]
Keep in mind that a mean difference of 0 indicates there is no
difference; this CI does not contain 0. Therefore, the sample statistic
is statistically significant and unlikely to occur by chance.
Because this was a systematic review, and tai chi exercise has been
established from the studies you assessed as helping people sleep, based
on the sample statistics and the CI, clinicians could now use your
study and confidently include tai chi exercises among possible
recommendations for patients who have difficulty sleeping.
Now you can apply your knowledge of CIs to create your own studies
and make wise decisions about whether to base your patient care on a
particular research finding.
Initial Post Instructions
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 an 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?
I would like to use patient falls and the use of bed alarms as the study to be tracked.