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Statistical Practice

 

PARASURAMA: Why Overlapping Confidence Intervals Mean Nothing About StatisticalĀ Significance

[NOTE: This is a repost of a blog that Prasanna Parasurama published at the blogsite Towards Data Science]. Prasanna1 ā€œThe confidence intervals of the two groups overlap, hence the difference is not statistically significantā€ The statement above is wrong. Overlapping confidence intervals/error bars say nothing about statistical significance. Yet, a lot of people make the mistake of inferring lack of statistical significance.

MCSHANE & GAL: Statistical Significance and Dichotomous Thinking AmongĀ Economists

[Note: This blog is based on our articles ā€œBlinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidenceā€ (Management Science, 2016) and ā€œStatistical Significance and the Dichotomization of Evidenceā€ (Journal of the American Statistical Association, 2017).] Introduction The null hypothesis significance testing (NHST) paradigm is the dominant statistical paradigm in the biomedical and social sciences.

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