Date

1970

Document Type

Thesis

Degree

Master of Science

Department

Industrial Engineering

First Adviser

Monro, Sutton

Abstract

The Chi-Square Goodness-of-Fit Statistic is sensitive to the particular partitioning scheme used to divide the hypothesized distribution into cells, viz., number of cells, cell width, and the minimum number of expectancies required per cell. This sensitivity is due to the fact that different partitionings produce different groupings of the random observations and the calculated expected frequencies on which the Chi-Square test statistic is derived.

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