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Virginia Tech

A Monte Carlo study of the robustness of the standard deviation of the sample correlation coefficient to the assumption of normality

Abstract

dc:description.abstract

From the case studies presented, one could conclude that for large values of n the standard deviation of r, the usual estimator of the correlation coefficient, and its transform z are only negligibly affected by variation in skewness or variation in kurtosis, the effect being slightly greater for variation in kurtosis. When the variations are in both skewness and kurtosis, the standard deviation of r and of Z are more affected by non-normality, a few significantly so. In small samples (n=10, n=5) the standard deviations of r and,z are quite visibly larger for variations in skewness and variations in kurtosis. The effect is greater for the simultaneous variation of the two. However, all of the values fall within a 95% confidence interval. It would appear then that the increase in the standard deviation of rand z is due more to the natural rise of the standard deviation in small samples rather than to non-normality. Viewing the studies made in totality we may in final conclusion state that the effect of non-normality on the standard deviation of r for samples of any size is not significant enough for concern; i.e., from this Monte Carlo study we will state that the standard deviation of the sample correlation coefficient is robust to the assumption of normality.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Statistics
Department dc:contributor.department
Statistics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1970

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Brooks, Camilla Anita
Chair dc:contributor.committeechair
  • Krutchkoff, Richard G.
Committee members dc:contributor.committeemember
  • Harshbarger, Boyd
  • Hamdan, Mohammed A.
  • Hinkelmann, Klaus H.

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-09242008-112820
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/44894

Chain of custody

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Virginia Tech
Base URL
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Last updated
2026-07-22
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citation

Brooks, Camilla Anita. A Monte Carlo study of the robustness of the standard deviation of the sample correlation coefficient to the assumption of normality. masters thesis, Virginia Tech, 1970. http://hdl.handle.net/10919/44894