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Agglomerative hierarchical clustering methods/procedures
Methods of cluster analysis that start with each individual in the separate cluster and then, in the series of steps, combine the individuals and later, it clusters into new larger clusters until a final stage is attained where all individuals are the members of a single group. At each stage or phase the individuals or clusters which are 'closest', in accordance to some particular definition of the distance are attached. The whole procedure can be summarized by the dendrogram. Solutions consequent to particular numbers of clusters are found by 'cutting' the dendrogram at the suitable level. See also average linkage, Ward's method, single linkage, complete linkage, K-means clusterAnalysis, Mojena's test and divisive methods or procedure.
whatis seasonal variation?show it with graphs?
Use the data in the BWGHT.txt for this question. The variable descriptions are given in the file BWGHT_variables.txt. There are 1388 observations in this dataset. (a) Run the regre
The poll interviewed 1500 persons rather than 1060, for 95% confidence.
If 9 population means are not all equal with a conclusion from ANOVA, we should expect that?
Stratified Sampling: If the population from which a sample is to be drawn does not constitute a homogenous group, then stratified sampling technique is applied so as to obtain a re
5,2,5,8,9,9,8,7,5,2
#what is the importance of measures of central tendency to Human resource management
why are assets always equal to liabilities
#definition
For public health purposes, the force of mortality in a population is usually measured by means of such indices as crude death rate. Infant mortality rate, specific death rate at d
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