Question

Have to answer a lab question on confidence intervals in health sciences. In using confidence intervals to make a decision or solve a problem in my job (nursing), or a life situation, include the following elements: Description of the problem or decision, how the interval would impact the decision and what level of confidence would be the most appropriate and why, and what data would be collected and how would you collect the data?

Answer 1

Description of the decision :-

As an issue of first significance, you need to find the sureness between time for the RBC count and if the RBC count of a particular patient is barred in the decided assurance break, and a while later we would gather that the patient has low RBC count or high RBC check as requirements be.

We would consider the 5% measurement of significance for this sureness between time. This infers we will use a 95% conviction between time for the typical people RBC count.

The 95% sureness level prescribes that 95% of the time your decision will be correct.

In essential words, 95% of strong individuals should have a RBC count between two unequivocal characteristics (cut down point of confinement and most extreme farthest point).

For finding an assurance between time for ordinary masses RBC count, you should accumulate the model data for RBC mean more than 30 strong individuals.

Test estimate should be adequate for finding the conviction interval. If the precedent measure is pretty much nothing, there is a believability of getting an uneven outcome. In like manner, individuals should be picked using suitable discretionary systems.

Individuals from different geographic zones should be fused into the model. In like manner, the sexual introduction degree should be balanced inside the model.

A wide scope of tendencies should be kept up a key separation from for getting impartial evaluations for the assurance between time for typical RBC mean a strong person.