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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.
Research Question: Percentage of students who drank a can, bottle, or glass of soda or pop (not including diet soda or diet pop) at least 1 time per day during the seven days
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Characteristics of index number
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merits and demerits of arithmetic mean
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1. Penny Pincher, Inc. had a contribution margin of $33,000 on sales of $50,000 and had fixed costs of $18,000. Calculate its break-even point in sales dollars. 2. Krueger Company
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