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# Chakrabarty’s Tables of Random Numbers: A Comparison of Degree of Randomness with that of Some Existing Random Numbers Tables?

### Dhritikesh Chakrabarty*

Department of Statistics, Handique Girls’ College, Gauhati University

*Address for Correspondence: Dhritikesh Chakrabarty, Department of Statistics, Handique Girls’ College, Gauhati University, Guwahati-781001, Assam, India, Tel: +036-125-437-93/995-472-5639; E-mail: dhritikesh.c@rediffmail.com/dhritikeshchakrabarty@gmail.com

Submitted: 05 April 2018; Approved: 18 May 2018; Published: 19 May 2018

Citation this article: Chakrabarty D. Chakrabarty’s Tables of Random Numbers: a Comparison of Degree of Randomness with that of Some Existing Random Numbers Tables. American J Biom Biostat. 2018;2(1): 003-010.

Copyright: © 2018 Chakrabarty D. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Keywords: Random numbers table; Tippet; Fisher & Yates; Kendall & Smith; Rand corporation; Chakrabarty; Degree of randomness; Chi-square test

A comparative study has been carried out on the degree of randomness of the two tables of random numbers due to Chakrabarty with the four tables of random numbers due to (1) Tippet, (2) Fisher & Yates, (3) Kendall & Smith and (4) Rand Corporation The degree of randomness has been examined on the basis of the significance of difference between the observed frequencies and the corresponding expected frequencies of the 10 digits. Chi-square (χ2) test has been applied in examining the said significance. This paper describes the examination of randomness of the six random numbers tables and a comparison of the degree of randomness of them.

## Introduction

The scientific method of selecting a random sample, that has been found to be the vital or basic work in almost every branch of experimental sciences, consists of the use of random numbers table. Several tables of random numbers have already been constructed by the renowned scientists. Some of them are due to Fisher & Yates [1], Hald [2], Hill & Hill [3], Kendall & Smith [4], Mahalanobis [5], Manfred [6], Moses & Oakford [7], Quenouille [8], RAND Corporation [9], Rao, Mitra & Matthai [10], Rohlf & Sokal [11], Royo & Ferrer [12], Snedecor and Cochran [13], Tippett [14], etc. Recently, Chakrabarty [15,16] has constructed two tables of random numbers, one for random two-digit numbers [15] and the other for random three-digit numbers [16].

Fisher & Yates had selected the numbers from the 10th to 19th digits of A.S. Thompson’s 20-figure logarithmic tables and recognized them as random numbers. In choosing from those digits, an element of randomness was introduced by using playing cards for the selection of half pages of the tables and of a column between 10th to 19th and finally for allotting these digits to the 50th place in a block. The method applied in selecting the numbers, by Fisher & Yates, creates a doubt on the randomness of the numbers generated. This leads to the necessity of examining the degree of randomness of the random numbers table constructed by Fisher and Yates. Similarly, there is also necessity of examining the degree of randomness of the tables of random numbers due to Tippet, Kendall & Smith and Rand Corporation respectively. In the meantime, some studies have been made on examining the degree of randomness of the four tables of random numbers due to Tippet, Fisher & Yates, Kendall & Smith and Rand Corporation respectively [17-18]. In the current attempt, a comparative study has been carried out on the degree of randomness of the two tables of random numbers due to Chakrabarty with the four tables of random numbers due to [19] Tippet, [20] Fisher & Yates, [15] Kendall & Smith and [16] Rand Corporation. The degree of randomness has been examined on the basis of the significance of difference between the observed frequencies and the corresponding expected frequencies of the 10 digits. Chi-square (χ2) test has been applied in examining the said significance. This paper describes the examination of randomness of the six random numbers tables and a comparison of the degree of randomness of them.

## The Test Statistic Used

The Chi-square statistic test innovated by Pearson [1,2,8,9,12,21-27] which is a test statistic used for testing of the goodness of fit, has suitably been applied here in testing the degree of randomness of table of random numbers. A test of goodness of fit establishes whether or not an observed frequency distribution differs from a theoretical distribution.

### The procedure of the test includes the following steps

1. Compute the value of the chi-squared (χ2) test statistic which resembles a normalized sum of squares of the deviations between the observed frequencies and the corresponding theoretical frequencies.

2. Determine the degrees of freedom of that statistic, which is essentially the number of categories reduced by the number of parameters of the fitted distribution.

3. Choose the level of significance of the test.

4. Compare the observed (computed) value of χ2 to the corresponding theoretical value from the chi-squared distribution with degrees of freedom and the selected level of significance.

5. Reject the null hypothesis that the difference between the observed frequency and the theoretical frequency is insignificant based on whether observed (computed) value of χ2 exceeds the corresponding theoretical value of χ2.

### The chi-squared test is based on the following assumptions

Assumptions-1 (Randomness of data): The sampled data are assumed to be drawn by a random sampling from a fixed distribution or population.

Assumptions-2 (Adequate sample size): The size of the sample is assumed to be sufficiently large.

Assumptions-3 (Adequate cell frequency): Frequency corresponding to each cell requires 5 or more. When this assumption is not met, Yates’s correction [27,14] is applied.

Assumptions-4 (Independence): The observations are assumed to be independent of each other.

### Chi-square statistic for the current study

The random numbers tables under study are as follows:

(

1) Tippet’s Random Numbers Table [14]: This table consists of 10400 four-digit numbers

giving in all 41600 single digits.

(2) Fisher & Yates Random Numbers Table [1]: This table comprises 7500 random two-digit

numbers giving in all 15000 single digits.

(3) Kendall and Smith’s Random Numbers Table [4]: This table consists of 25000 random four-

digit numbers giving in all 100000 single digits.

(4) Random Numbers Table by Rand Corporation [9]: This table consists of one million single

digits consisting of 200000 random numbers of five-digits each.

(5) Chakrabarty’s Table of Random Two-digit Numbers [15]: This table consists of 10000 random

two-digit numbers giving in all 20000 single digits.

(6) Chakrabarty’s Table of Random Three-digit Numbers [16]: This table consists of 20000

random three-digit numbers giving in all 60000 single digits.

Let us consider Fisher and Yates random number table. This table consists of a total of 15000 single digits comprising of 7500 two-digit numbers viz.

00 , 01 , 02 , ........…… , 98 , 99

The test required in this study is to test whether the occurrences of the numbers appeared in the table is random. This is equivalent to a test to looked to make sure that equal numbers of 0s, 1s, 2s, 3s, ………..., 9s are present in the table.

Let the number of occurrences of the ten digits in the table be N..

Let

$O i MathType@MTEF@5@5@+=feaaguart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLnhiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=xfr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaaeaaaaaaaaa8qacaWGpbWdamaaBaaaleaapeGaamyAaaWdaeqaaaaa@382E@$ = Observed frequency of the digit i

& Et = Expected frequency of the digit i

(i = 0 , 1 , 2 , ........... , 9)

among the N occurrences.

Then the χ2 statistic for testing the null hypothesis

“the occurrences of the digits in the table is random”

i.e. “each digit has the probability 0.1 to occur in any position”

which is equivalent to testing of the null hypothesis that

“the discrepancy between the observed frequencies and the corresponding expected frequencies of the digits is insignificant”

is

which follows χ2 distribution with 9 degrees of freedom.

This statistic can be applied to test the randomness of the whole table or of any part of the table.

This statistic can similarly be applied in testing of the randomness of the other five tables.

It is mentioned here that the assumptions under which chi-square test is applicable hold good in the case of the occurrences of the numbers in each of the four tables.

In the case of each of the six tables of random numbers, frequency test has been applied to

1st 100, 1st 200, 1st 300, ..........................., 1st 15000 , …………………….

occurrences of the ten digits in the table.

The observed values of Chi-square Statistic obtained have been shown in (Table-1).

## Findings and Discussions

The following observations/findings have been obtained:

(1) In the case of Fisher & Yates Random Numbers Table, the highest observed value of chi-square with 9 degrees of freedom is 26.118. The theoretical value of chi-square with 9 degrees of freedom at 5% & 1% level of significance are 16.919 & 21.666 respectively. Thus, the lack of randomness of Fisher & Yates Random Numbers Table can be regarded as significant not only at 5% level of significance but also at 1% level of significance. However, the observed value of chi-square corresponds to its theoretical value at 0.055% level of significance. Thus, the lack of randomness of Fisher & Yates Random Numbers Table can be regarded as insignificant up to 0.055% level of significance and significant at the level of significance < 0.055% .

(2) In the case of Tippet’s Random Numbers Table, the highest observed value of chi-square with 9 degrees of freedom is 15.814. The theoretical value of chi-square with 9 degrees of freedom at 5% level of significance is 16.919. Thus, the lack of randomness of Tippet’s Random Numbers Table can be regarded as insignificant at 5% level of significance. However, the observed value of chi-square corresponds to its theoretical value at 7.5%level of significance. Thus, the lack of randomness of Tippet’s Random Numbers Table can be regarded as insignificant up to 7.5% level of significance and significant at the level of significance < 7.5%.

(3) In the case of Kendall & Smith’s Random Numbers Table, the highest observed value of chi-square with 9 degrees of freedom is 13.4 which is less than the corresponding theoretical value of chi-square at 5% level of significance. Thus, the lack of randomness of Kendall & Smith’s Random Numbers Table can be regarded as insignificant at 5% level of significance. However, the observed value of chi-square with 9 degrees of freedom namely 13.4 corresponds to the theoretical value of chi-square with 9 degrees of freedom at 18.1% level of significance. Thus, the lack of randomness of Kendall & Smith’s Random Numbers Table can be regarded as insignificant up to 18.1% level of significance and significant at the level of significance < 18.1%.

(4) In the case of Random Numbers Table due to Rand Corporation, the highest observed value of chi-square with 9 degrees of freedom is 12.518 which is less than the corresponding theoretical value of chi-square at 5% level of significance. Thus, the lack of randomness of Random Numbers Table due to Rand Corporation can be regarded as insignificant at 5% level of significance. However, the observed value of chi-square with 9 degrees of freedom namely 12.518 corresponds to the theoretical value of chi-square with 9 degrees of freedom at 24% level of significance. Thus, the lack of randomness of Random Numbers Table due to Rand Corporation can be regarded as insignificant up to 24% level of significance and significant at the level of significance < 24%.

(5) In the case of Random Numbers Table (of two-digit numbers) due to Chakrabarty, the observed values of chi-square have been found to be 0. Thus, there is no lack of randomness in this table and thus the table can be treated as properly random.

(6) In the case of Random Numbers Table (of three-digit numbers) due to Chakrabarty, the observed values of chi-square have also been found to be 0. Thus, there is no lack of randomness in this table and thus this table also can be treated as properly random.

From the findings obtained, one can conclude that the degree of the lack of randomness is highest (in other words, the degree of randomness is lowest) in the Fisher & Yates Random Numbers Table among the six tables of random numbers examined. On the other hand, the degree of the lack of randomness is lowest (in other words, the degree of randomness is highest) in the two Random Numbers Tables due to Chakrabarty among the six tables of random numbers examined. The six tables can be ranked with respect to the degree of randomness as follows:

The findings obtained are based on frequency test using chi-square statistic. However, there exist some other methods of testing of randomness. There is necessity of obtaining more confidence on the findings by applying the other methods of testing of randomness. Thus one problem for researcher, at this stage, is to make attempt of studying the degree of randomness of these six tables of random numbers by the other testing methods.

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