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Vital statistics may be interpreted in two ways-in a broader sense it refers to all types of population statistics by whatever mode collected while in a narrower sense it refers only to the statistics derived from registrations of births deaths and marriagesThe term vital statistics signifies either the data or the methods applied in the analysis of the data which provide a description of the vital events occurring in given communities. By vital events we mean such events of human loge as birth, death, sickness marriage, divorce, adoption, legitimating recognition, separation, etc. in short all the events which have to do with an individual 's entrance into or departure from life together with the changes in civil status which may occur to him during his lifetime.Vital statistics have to do with may occur to him during his lifetime. This branch of statistics has perhaps the second oldest history in the world population census, which is the closely related population census. The population census, which is the closely related population census, the population census, which is the most fundamental and far-reaching statistical inquiry that can be undertaken, Provides a picture of the population and its characteristics at one moment of time vial statistics provide the tools for measuring the dynamics of or the changes which continuously occur in this instantaneous picture. It is clear from the above definition that in a broader sense. Vital statistics refers to all types of population statistics. The purpose of such statistics is to find out the changing composition of communities or nations with reference to sex age, Education birth and death rates, Marriage economics and civic.Some of its main topics are:1. Vital statistics2. Measurement of mortality3. Life table4. Gross reproductive rate5. Fertility6. Reproduction rates
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The sizes of 15 California earthquakes are given below. 6.8 6.6 7.5 6.2 6.5 7.1 8.3 5.9 6.1 6.9 7.0 6.2 5.9 6.3 7.3 (a) Assuming normal distribution for the s
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1. Generate a large dataset ( at least 1000 observations) µ with a known mean, µ between 20 and 40 and variance s = 9 using rnorm(). identify it as D. Use the functions mean() and
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An HIV educator wishes to determine whether the method of delivering teaching influences adherence with antiretroviral therapy. She decides to measure adherence as viral load (a r
In June 2009, the average Australian credit card account balance was $3,127, according to data extracted Assuming that these balances are approximately Normally distributed with a
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1. Comment on influence of study design, sampling strategy and scale of measurement of outcome variable, on your choice of analytical approach Study design: the study design i
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