Abstract
Interpreting Research Findings With Confidence Interval
An understanding of p-values and confidence intervals is necessary for the evaluation of results of any study. The purpose of this article is to provide useful information for the interpretation of these two statistical concepts. The results based solely on P value can be misleading as it only tells that whether the results are significant or not but the confidence interval provides a range of probabilities of effect sizes within which the true value would lie 95% or 90% of the time, depending on the precision desired. CI provide a slightly different estimate of statistical truth, it provide a range of the true effect observed in a study.
Author(s):
Neeraj Hirpara, Sandesh Jain, Alpana Gupta, Soumya Dubey intern
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