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The procedure for clustering variables in the multivariate data, which forms the clusters by performing one or other of the below written three operations:
* combining two variables, neither of which belongs to any of the existing cluster,
* adding to the already existing cluster a variable not previously in any of the cluster,
* combining two clusters to form the larger cluster.
It can be used as an alternative to the factor analysis.
3. a. A researcher in Hong Kong computes the correlation between the percentage of employee turnover and the local unemployment rate (also expressed as a percentage) over a 20-mont
Generally the final stage of an exploratory factor analysis in which factors derived initially are transformed to build their interpretation simpler. Generally the target of the pr
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Radical statistics group : The national network of the social scientists in United Kingdom committed to the critique of statistics as taken in use in the policy making procedure. T
Invariant transformations to combine marginal probability functions to form multivariate distributions motivated by the need to enlarge the class of multivariate distributions beyo
The skewness is a measure of asymmetry and as it is positive at 4.29, it is greater than zero which reveals that the tail extends to the right indicating the distribution to be mor
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