Introduction to Medical Biometry and StatisticsW. B. Saunders, 1930 - 459 páginas |
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Página 109
... cent . more of the tuberculous individuals than of the non - tuberculous contracted influenza during the epidemic . Of the 595 tuberculous persons who had influenza , 460 , or 77.3 per cent . , were in households where at least one ...
... cent . more of the tuberculous individuals than of the non - tuberculous contracted influenza during the epidemic . Of the 595 tuberculous persons who had influenza , 460 , or 77.3 per cent . , were in households where at least one ...
Página 116
... cent 27.5-29.4 per cent 29.5-31.4 per cent 31.5-33.4 pel cent 33.5-35.4 per cent 35.5-37.4 per cent pounds 89.5-99.4 - 1 - 99.5-109.4 1 1 1 109.5-119.4 - 119.5-129.4 2 129.5-139.4 - - 139.5-149.4 149.5-159.4 159.5-169.4 169.5-179.4 ...
... cent 27.5-29.4 per cent 29.5-31.4 per cent 31.5-33.4 pel cent 33.5-35.4 per cent 35.5-37.4 per cent pounds 89.5-99.4 - 1 - 99.5-109.4 1 1 1 109.5-119.4 - 119.5-129.4 2 129.5-139.4 - - 139.5-149.4 149.5-159.4 159.5-169.4 169.5-179.4 ...
Página 329
... cent . ( b ) 20 per cent . ( c ) 30 per cent . ( d ) 40 per cent . ( e ) 50 per cent . ( f ) 60 per cent . ( g ) 70 per cent . ( h ) 80 per cent . ( i ) 90 per cent . Suppose now we take samples from N , of m individuals in each sample ...
... cent . ( b ) 20 per cent . ( c ) 30 per cent . ( d ) 40 per cent . ( e ) 50 per cent . ( f ) 60 per cent . ( g ) 70 per cent . ( h ) 80 per cent . ( i ) 90 per cent . Suppose now we take samples from N , of m individuals in each sample ...
Contenido
PAGE | 14 |
CHAPTER II | 42 |
Survivorship Distribution of the First Life Table Halleys | 48 |
Derechos de autor | |
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Términos y frases comunes
abscissal age distribution age interval arithlog 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 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 tuberculosis tuberculous typhoid fever variables variation vital indices