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This article has been cited by other articles in PMC. Sir, Use of descriptive statistics is very common in articles published in various medical journals.

References 1. Nagele P. Misuse of standard error of the mean SEM when reporting variability of a sample. A critical evaluation of four anaesthesia journals. Br J Anaesth. Footnotes Source of Support: Nil. Statistical problems in the reporting of clinical trials — a survey of three medical journals. N Engl J Med. Incongruence between test statistics and P values in medical papers. Graphical literacy: The quality of graphs in a large-circulation journal.

Ann Emerg Med. Statistical reviewing policies of medical journals. J Gen Intern Med. The Lancet's statistical review process: Areas for improvement by authors. Statistical guidelines for contributors to medical journals.

Cardioprotective effect of ascorbic acid on doxorubicin-induced myocardial toxicity in rats. Indian J Pharmacol. In vivo investigation of the neuroprotective property of Convolvulus pluricaulis in scopolamine-induced cognitive impairments in Wistar rats.

The effect of the aqueous extract of the leaves of boerhavia diffusa linn. Sci World J. Evaluation of the concomitant use of methotrexate and curcumin on Freund's complete adjuvant-induced arthritis and hematological indices in rats.

Nagele P. Misuse of standard error of the mean SEM when reporting variability of a sample. A critical evaluation of four anaesthesia journals. Br J Anaesth. Basic and clinical biostatistics. Glantz SA. Philadelphia: McGraw-Hill; How to summarize data; pp. Lang TA. How to report statistics in medicine: Annotated guidelines for authors, editors, and reviewers. Philadelphia: American College of Physicians; Elementary statistics: A Problem Solving Approach.

UK: William Brown; Armitage P, Berry G. Statistical methods in medical research. Cambridge, MA: Blackwell Scientific; Fundamental concepts in statistics: Elucidation and illustration. It takes into account both the value of the SD and the sample size. This makes sense, because the mean of a large sample is likely to be closer to the true population mean than is the mean of a small sample.

With a huge sample, you'll know the value of the mean with a lot of precision even if the data are very scattered. It is expressed in the same units as the data. With large samples say greater than ten , you can use these rules-of-thumb:.

The multipliers are not actually 1. With small samples, and certainly when N is less than ten, those rules of thumb are not very accurate. Statistical computations can compute a standard error for almost any parameter computed from a sample of data.



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