### Hall, RC (2018)

#### Why the Summation Test Results in a Benford, and not a Uniform Distribution, for Data that Conforms to a Log Normal Distribution

Preprint viXra.org > Number Theory > viXra:1809.0158; last accessed November 17, 2020.

**ISSN/ISBN:** Not available at this time.
**DOI:** Not available at this time.

**Abstract:** The Summation test consists of adding all numbers that begin with a particular first digit or first two digits and determining its distribution with respect to these first or first two digits numbers. Most people familiar with this test believe that the distribution is a uniform distribution for any distribution that conforms to Benford's law i.e. the distribution of the mantissas of the logarithm of the data set is uniform U[0,12). The summation test that results in a uniform distribution is true for an exponential function (geometric progression) but not true for a data set that conforms to a Log Normal distribution even when the Log Normal distribution itself closely approximates Benford's Law.

**Bibtex:**

```
@misc{,
AUTHOR = {Robert C. Hall},
TITLE = {Why the Summation Test Results in a Benford, and not a Uniform Distribution, for Data that Conforms to a Log Normal Distribution},
YEAR = {2018},
URL = {https://vixra.org/abs/1809.0158},
}
```

**Reference Type:** Preprint

**Subject Area(s):** Statistics