Introduction to Medical Biometry and StatisticsW. B. Saunders, 1930 - 459 páginas |
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Página 68
... shows . The second error is that the return always shows an excess of persons at certain particular years of age . This concentration is most marked on ages which are multiples of 5 and 10 , but there is also observable a tendency in ...
... shows . The second error is that the return always shows an excess of persons at certain particular years of age . This concentration is most marked on ages which are multiples of 5 and 10 , but there is also observable a tendency in ...
Página 190
Raymond Pearl. of the American Sugar Refining Company , shows the time re- lations of harvesting of the principal ... show the distribution of individual events or values . This scheme has particularly been used by biometricians to show ...
Raymond Pearl. of the American Sugar Refining Company , shows the time re- lations of harvesting of the principal ... show the distribution of individual events or values . This scheme has particularly been used by biometricians to show ...
Página 352
... shows at a glance that the 272 men of this group differ among themselves far more widely in respect of age and body - weight than they do in respect of stature or relative cell volume . The variation polygon for stature shows Relative ...
... shows at a glance that the 272 men of this group differ among themselves far more widely in respect of age and body - weight than they do in respect of stature or relative cell volume . The variation polygon for stature shows Relative ...
Contenido
PAGE | 14 |
CHAPTER II | 42 |
FIG PAGE 1 Facsimile of the Title Page of the First Treatise on Vital Statistics | 46 |
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Términos y frases comunes
abscissal age distribution age interval array average beats per minute binomial biologic biometric Biometrika birth birth-rates body weight brain-weight calculated cause of death census cent chapter coefficient coefficients of variation color column constant corrected death-rate correlation correlation ratio crude diagram discussion diseases dying equation event example force of mortality frequency distribution given graphically Head Height inclusive individual infant mortality influenza Jour logistic curve males mathematical mean measles measure nomogram normal curve observed occur Official Vital Statistics ordinates organs original particular Pearl penny persons plotted polygon population probable error puerperal random ratio record registration relative cell volume result sample scarlet fever septicemia shown skewness skull length specific death-rates standard deviation Stat statistical method statistician Table tabulation tail theory tion toss tuberculosis tuberculous typhoid fever variables variation vital indices