What are some examples of how hypothesis testing and confidence intervals are used together in health care research? How we can evaluate them? What is an example in an organization that can help illustrates ideas? (Use Resources)

 

introduction

The confidence intervals and the hypothesis tests are identical in that they are both inferential approaches that depend on the estimated distribution of the sampling. Confidence intervals use sampling data to approximate the population parameter. Hypothesis analyses use evidence from a study to assess a particular hypothesis. Hypothesis research allows one to have a hypothesized parameter.

Examples

think of a situation where a researcher in medicine field has developed a drug that he/she thinks it is superior to the in curing the disease than the existing drug. the researcher will need to test the hypothesis that the new drug is better than the old drug. he will construct a confidence interval to see whether there are some point that one is a subset of the other and if one is found to be the subset of other this indicates interaction and hence no need to invest on the new drug.

assume that a certain doctor is know to be treating a certain disease effectively such that say for 100 patient he/she treats 95 of the get discharged within 7 days after admission. take a case where the doctor treats 200 patients you will construct a confidence interval to know the minimum and maximum number of patents who can be discharged.

Evaluation

to evaluate the confidence interval you need to (1) get the mean of the variable under investigation (M) (2) get the margin of error (E), then the confidence interval is given by [M +or -E]=[M-E, M+E]

Example in organization

a case study of placebo and aspirin in treatment of myocardial infections