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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.
s. All human blood can be "ABO-typed" as one of O, A, B, or AB, but the distribution of the types varies a bit among groups of people. Here is the distribution of blood types for a
A fox fleeing from a hunter encounters a 0.730 m tall fence and attempts to jump it. The fox jumps with an initial velocity of 7.10 m/s at an angle of 45.0°, beginning the jump 2.1
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The quick method for a confidence interval for a proportion uses p ±1/√n as an approximation for a 95% confidence interval. The margin of error in this case is slightly larger tha
You are required to simulate simple worm propagation in a medium-scale network by using discrete-time simulation technique. Assume that in an isolated network with IP address
In a survey of 284 smokers, 197 smokers reported that they wanted to quit smoking. Compute a 90% confidence interval for the true proportion of smokers that want to quit smoking.
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The following are actual data showing the latitude of a sample of major cities in the northern hemisphere and their mean high annual temperature. latitude(X) mean high temp(Y
(39.75-(39)/2/(sqrt+25))
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