In general, real distributions are not the same as predicted or calculated distributions. A common and important problem iii statistics is to determine how much deviation from a predicted distribution may be ascribed to pure chance. In other words, we would like to know whether the sample we have tested is really a legitimate representative of the infinite population for which the distribution was calculated. As usual in statistics, we cannot say with certainty that the sample is or is not a representative of the infinite population, or as is said, has been drawn from the infinite population. We can, however, use statistics to obtain the shrewdest possible guess and to calculate the probability of our being wrong. In cases where statistics is applicable, this is all that can be done. Statistics is the mathematics of events in the future or events for which some essential information has been obscured from us so that we cannot calculate an unequivocal answer.
KeywordsConfidence Limit Central Limit Theorem Stress Group Sample Standard Deviation Erythrocyte Count
Unable to display preview. Download preview PDF.
- H. D. Young, Statistical Treatment of Experimental Data, McGraw-Hill, New York, 1962.Google Scholar
- F. E. Croxton, Elementary Statistics With Applications in Medicine and the Biological Sciences, Dover, New York, 1953.Google Scholar
- F. J. Rohlf and R. R. Sokal, Statistical Tables, Freeman, San Francisco, 1969.Google Scholar
- G. W. Snedicor, Statistical Methods, The Iowa State College Press, Ames, Iowa, 1956.Google Scholar