mathmarks: Mathematics marks

In SIN: A SINful Approach to Selection of Gaussian Graphical Markov Models

Description

Examination marks of 88 students in the five subjects:

• Mechanics,

• Vectors,

• Algebra,

• Analysis,

• Statistics.

Usage

data(mathmarks)

Format

A list providing a summary of the data. The list contains:

mathmarks$means	:	the mean vector,
mathmarks$stddev	:	the vector of standard deviations,
mathmarks$corr	:	the correlation matrix, and
mathmarks$n	:	the sample size.

Details

Mechanics and Vectors were closed book examinations. Algebra, Analysis and Statistics were open book examinations.

Source

Mardia, K.V., Kent, J.T. \& Bibby, J.M. (1979) Multivariate analysis. London: Academic Press. (See pp.3-4).

Whittaker, J. (1990) Graphical models in applied multivariate statistics. Chichester: Wiley. (See Ch. 1.1).

Examples

data(mathmarks)
mathmarks$means
mathmarks$stddev
mathmarks$corr
mathmarks$n

SIN documentation built on May 2, 2019, 8:23 a.m.