Report on the statistical trends

This research project evaluates the impact of the recent economic crisis whose impact was felt all world over, on the successful implementation of the MDG-4, reduction of child mortality, among the six WHO regions, and the global index on the same. These regions are: Africa (AFR), the Americas (AMR), South-East Asia (SEAR), Europe (EUR), Eastern Mediterranean (EMR), and Western Pacific (WPR)Two countries from the African region, Mali and Niger, have been picked and progress in there assessed too. Of great importance is the overall trend in successful implementation of this MDG value, and any possible shift in trend since the on-set of the economic turmoil.
Infant mortality rate and the under-five mortality rate data obtained from the WHO have been used for trend analysis. Following the turmoil, it is estimated that the emphasis laid on the reduction of child mortality has reduced globally as emphasis shifts to other urgent and more immediate threats. Understandably, the implementation of the MDGs has to go hand in hand with the management of emerging roles. The impact of the threat of shifting emphasis forms the basis of this investigation. In any study of trends the diagnosis of the cause the cause of death is of primary importance for any studies (Geneva 1980).
Trend analysis is the application of statistical techniques to unearth the underlying features of a time series data (EFSA 2011). Statistical data is often unfit for analysis in its natural form. Graduation techniques are often used to eliminate these anomalies and to derive a smooth curve by age (Wei et al 2008). In this case, the data has been standardized. Shyamalkumar notes “a graduation type mathematical approach which does not recognize this variability is no longer in vogue”. (Shyamalkumar n.d.). Most populations follow the Poisson distribution, but it has not been used in