Introduction to Medical Biometry and StatisticsW. B. Saunders, 1930 - 459 páginas |
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Página 71
... persons , and to a somewhat less extent with respect to foreign white persons ; and for these two elements of the population it is probable that no great improvement can be expected under the present conditions of census enumeration ...
... persons , and to a somewhat less extent with respect to foreign white persons ; and for these two elements of the population it is probable that no great improvement can be expected under the present conditions of census enumeration ...
Página 109
... persons who had influenza , 460 , or 77.3 per cent . , were in households where at least one other person also had influenza during the epidemic . Of the 1971 non - tuberculous persons who had influenza , on the other hand , 1788 , or ...
... persons who had influenza , 460 , or 77.3 per cent . , were in households where at least one other person also had influenza during the epidemic . Of the 1971 non - tuberculous persons who had influenza , on the other hand , 1788 , or ...
Página 259
... PERSONS . NUMBER LIVING IN EACH YEARLY INTERVAL of Age Age interval . Persons per million in current age Age interval . interval . Persons per million in current age interval . Age interval . Persons per million in current age interval ...
... PERSONS . NUMBER LIVING IN EACH YEARLY INTERVAL of Age Age interval . Persons per million in current age Age interval . interval . Persons per million in current age interval . Age interval . Persons per million in current age interval ...
Contenido
PAGE | 14 |
CHAPTER II | 42 |
Survivorship Distribution of the First Life Table Halleys | 48 |
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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