examScor


  Dataset from Mardia, Kent and Bibby on 88 students who took examinations in five subjects. The first two subjects were tested
  with closed book exams and the last three were tested with open book exams.


datasets

Routines to perform estimation and inference under the multivariate t-distribution.
Currently, the following methodologies are implemented: multivariate mean and covariance
estimation, hypothesis testing about the mean, equicorrelation and homogeneity of variances,
the Wilson-Hilferty transformation, QQ-plots with envelopes and random variate
generation. Some auxiliary functions are also provided.

Felipe Osorio

Estimation and Testing for the Multivariate t-Distribution

examScor function

A data frame with 88 observations on the following 5 variables.
  <dl>
    <dt>mechanics</dt><dd> mechanics, closed book exam.</dd> <dt>vectors</dt><dd> vectors, closed book exam.</dd> <dt>algebra</dt><dd> algebra, open book exam.</dd> <dt>analysis</dt><dd> analysis, open book exam.</dd> <dt>statistics</dt><dd> statistics, open book exam.</dd> </dl> 

Format

Mardia, K.V., Kent, J.T., and Bibby, J.M. (1979).
  <em>Multivariate Analysis</em>. Academic Press, London.

examScor: Open/Closed book data

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