By Calum N. L. Macpherson, François-Xavier Meslin, Alexander I. Wandeler
Either family and wild canine are power vendors of many illness organisms that could infect people and therefore represent a chance to public future health. This publication is the 1st to deal with this crucial factor on a global foundation.
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Extra info for Dogs, Zoonoses and Public Health
If the sample size is very large, the t-distribution becomes virtually identical to the normal distribution. The t-tests are therefore suitable for both large and small sample sizes. For the use of a t-test to be valid, the data should be normally distributed. Although the test is described as ‘robust’, meaning that it can withstand moderate departures from normality, severely skewed data are unsuitable. For independent tests, the standard deviations should also be roughly equal. If you are in doubt as to whether the degree of skewedness of your data violates these conditions, statistical methods exist to assess this (see Chapter 16).
The standard deviation indicates the size of the spread of the data. It can also help us to determine how likely it is that a given value will be observed in the population being studied. We know this because the proportion of the population that is covered by any number of standard deviations can be calculated. 3 The normal distribution. 73% of all values lie within ± three standard deviations of the mean. 58 standard deviations. g. the mean) can be calculated, and are known as tails. We shall discuss these in Chapter 14.
We shall discuss these in Chapter 14. It is possible to calculate the probability that a value in any particular range will occur. The normal distribution is useful in a number of applications, including confidence intervals (see Chapter 12) and hypothesis testing (see Chapter 14). g. result can only be 0 or 1; yes or no) the Poisson distribution – for rare events that occur randomly in a large population. The t- and binomial distributions resemble the normal distribution when large samples are used.
Dogs, Zoonoses and Public Health by Calum N. L. Macpherson, François-Xavier Meslin, Alexander I. Wandeler