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Chapter 15: Chi-Square Tests

693

Section Review

Next we will discuss how we can apply the chi-square goodness-of-fit test to

a natural law referred to as

Benford’s Law

.

15-5 Benford’s Law

In 1881, Simon Newcomb (American astronomer & mathematician) noticed

that the pages of heavily used books of logarithms were much more worn

out at the beginning than at the end.

Reference

: “Note on the Frequency of

the Use of Digits in Natural Numbers”, Amer. J. Math 4, 39-40, 1881. This

suggested, according to Newcomb, that more calculations were done

involving numbers starting with 1 rather than with 8 or 9. Newcomb

postulated that

NATURE

seems to have a tendency to arrange numbers such

that the proportion of numbers starting with a leading digit D is equal to

logarithm of [1 + (1/D)]. In 1938, Frank Benford (physicist at General

Electric) published his paper “The Law of Anomalous Numbers.” Proc.

Amer. Phil. Soc. 78, 551-572. Benford analyzed 20,229 sets of numbers

(e.g. areas of rivers, physical constants, death rates, baseball statistics,

numbers in magazine articles etc.) and showed that these numbers followed

the same law as that proposed byNewcomb. Benford re-discovered the

same law as Newcomb and was given all the credit for it. This formula is

now called

Benford’s Law

or the

First-digit Law.

Table 15-10

shows the

distribution of the proportions, to three decimal places, for the leading digits

of numbers based on Benford’s Law.

Table 15-10:

Distribution of Leading Digits Using Benford’s Law

A graphical display of the distribution for the values in

Table 15-10

is

shown in

Figure 15-27

.

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