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Graphical deception : Statistical graphics which are not as honest as they should be. It is relatively simple.
To mislead the unwary with the graphical material. For instance, consider the plot of the death rate per million from the breast cancer, for number of periods over the last three decades, given in the
Figure drawn below. The rate appears to show the rather alarming increase. Though, when the data are replotted with vertical scale starting from zero, as shown in the Figure drawn below, the increase in the breast cancer death rate is altogether less startling. This instance illustrates that undue exaggeration or the compression of the scales is best avoided while drawing graphs. For one more example of a common graphical distortion see lie factor.
an oil company is considering whether or not to bid for an offshore drilling contract. The bid would cost $60 with a 65% chance of gaining the contract. Outcome success Probability
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Ascertainment bias : A feasible form of bias, particularly in the retrospective studies, which arises from the relationship between the exposure to the risk factor and the probabil
Personal probabilities : A radically special approach for allocating probabilities to events than, for instance, the commonly used long-term relative frequency approach. In this ty
Classification and regression tree technique (CART): The alternative to the multiple regression and associated techniques or methods for determining subsets of the explanatory va
A family of the probability distributions of the form given as here θ is the parameter and a, b, c, d are the known functions. It includes the gamma distribution, normal dis
Method of moments is the procedure for estimating the parameters in a model by equating sample moments to the population values. A famous early instance of the use of the proced
2 jobs n machines,graphical method,how to determine which job should proceed first on each machine
O'Brien's two-sample tests are the extensions of the conventional tests for assessing the differences between treatment groups which take account of the possible heterogeneous nat
Glejser test is the test for the heteroscedasticity in the error terms of the regression analysis which involves regressing the absolute values of the regression residuals for the
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