Confidence Intervals: Why are they Useful in Helping to Determine Clinical Significance?

Confidence Intervals
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Confidence Intervals
Confidence Intervals: Why are they useful in helping to determine clinical significance?
Confidence intervals are the surest way of achieving over 95% accuracy. It is majorly used by researchers while conducting research. It is of importance since it addresses a number of values inside a population that can be difficult to obtain (Cumming, 2013). Confidence intervals are realistic and offer estimates of the likely outcomes with a view to be realized in the data analysis process. It allows for the researcher to check their hypothesis and provide more information on the functions such as sample size, point of estimates and variations. It allows researchers to come up with more significant conclusions in their studies. Confidence intervals are helpful in the coming up with an appropriate conclusion since there it provides a proof-based practice (Sedgwick, 2014).
There are many controversies surrounding the issue of clinical significance vs. statistical significance. Identify one of them and summarize it. Finish with your opinion about the controversy.
Statistical significance is a statement in which the findings are majorly based on chance. Clinical significance are findings that rely on the p values and normally provide dichotomous result which can be statistically significant or insignificant. During interpretation, limiting interpretation to p values could lead to overestimate or underestimation of the meaning of the results. The major assumption in the medical research is that the smaller clinical research is a repres...