mba, Advanced Statistics

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Mention the characteristics of Statistics. Explain any two applications of Statistics.

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Case series, Case series : It is the series of reports on the condition of ...

Case series : It is the series of reports on the condition of the individual patients made by treating physician. Such reports might be helpful and informative for the rare disease

Randomization tests, Randomization tests are the procedures for determinin...

Randomization tests are the procedures for determining the statistical significance directly from the data with- out recourse to some particular sampling distribution. For instanc

Mauchly test, Mauchly test is a test which a variance-covariance matrix of...

Mauchly test is a test which a variance-covariance matrix of pair wise differences of responses in the set of longitudinal data is the scalar multiple of identity matrix, a proper

Ecological fallacy, The term used when the aggregated data (for instance, a...

The term used when the aggregated data (for instance, aggregated over different areas) are analysed and the results supposed to apply to the relationships at the individual level.

Ordinal variable, Ordinal variable is a measurement which allows a sample ...

Ordinal variable is a measurement which allows a sample of the individuals to be ranked with respect to some characteristic but where differences at different points of the scale

Find the expected value of perfect information, You may have the opportunit...

You may have the opportunity to buy some electronic components. These components may be reliable (1) or unreliable (2). The potential pro?ts are £10,000 if the components are rel

Data screening, The initial evaluation of the set of observations to see wh...

The initial evaluation of the set of observations to see whether or not they appear to satisfy the hypotheses or assumptions of the methods to be used in their analysis. Techniques

Quantile regression, Quantile regression is an extension of the classical ...

Quantile regression is an extension of the classical least squares from estimation of the conditional mean models to the estimation of the variety of models for many conditional q

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