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O. J. Simpson paradox is a term coming from the claim made by the defence lawyer in murder trial of O. J. Simpson. The lawyer acknowledged that the statistics demonstrate that only the one-tenth of one percent of men who abuse their wives go on to murder them, with the implication that one or two instances of alleged abuse gives very little evidence that the wife's murder was committed by abusive husband. The argument simply reflects that most of the wives are not murdered and has no relevance once the murder has been committed and there is a body. What is required to be considered here is, given that the wife with an abusive partner has been murdered, what is the chance that murderer is her abuser husband? It is this conditional probability which provides the relevant evidence for jury to consider, and estimates of the possibility which range from 0.5 to 0.8.
Data which occur when failure period is recorded which are dependent. Such type of data can arise in number contexts, for instance, in epidemiological cohort studies in which th
Non linear model : A model which is non-linear in the parameters, for instance are Some such type of models can be converted into the linear models by linearization (the s
The statistical methods for estimation and inference which are based on a function of sample observations, probability distribution of which does not rely upon a complete speci?cat
CONSTRUCTION OF AN OR MODEL
Weathervane plot is the graphical display of the multivariate data based on bubble plot. The latter is enhanced by the addiction of the lines whose lengths and directions code the
Huffman code is used to compress data file, where the data is represented as a sequence of characters. Huffman's greedy algorithm uses a table giving how often each character occur
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
Evaluate the following statistical arguments. Begin by identifying the sample, population, and the property which is being investigated. Do these arguments sound acceptable? Would
This term is sometimes used for the data collected in those longitudinal studies in which more than the single response variable is recorded for each subject on each occasion. For
Missing values : The observations missing from the set of data for some of the reason. In longitudinal studies, for instance, they might occur because subjects drop out of the stud
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