### Abstract

Original language | English |
---|---|

Pages | 28-30 |

Number of pages | 3 |

Volume | 14 |

Specialist publication | Microbiologist |

Publication status | Published - Sep 2013 |

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### Keywords

- statistics
- microbiology
- Kolmogorov-Smirnov test

### Cite this

*Microbiologist*,

*14*, 28-30.

}

*Microbiologist*, vol. 14, pp. 28-30.

**Statnote 34 : the Kolmogorov-Smirnov (KS) test.** / Hilton, Anthony; Armstrong, Richard.

Research output: Contribution to specialist publication › Article

TY - GEN

T1 - Statnote 34 : the Kolmogorov-Smirnov (KS) test

AU - Hilton, Anthony

AU - Armstrong, Richard

PY - 2013/9

Y1 - 2013/9

N2 - The Kolmogorov-Smirnov (KS) test is a non-parametric test which can be used in two different circumstances. First, it can be used as an alternative to chi-square (?2) as a ‘goodness-of-fit’ test to compare whether a given ‘observed’ sample of observations conforms to an ‘expected’ distribution of results (KS, one-sample test). An example of the use of the one-sample test to determine whether a sample of observations was normally distributed was described previously. Second, it can be used as an alternative to the Mann-Whitney test to compare two independent samples of observations (KS, two-sample test). Hence, this statnote describes the use of the KS test with reference to two scenarios: (1) to compare the observed frequency (Fo) of soil samples containing cysts of the protozoan Naegleria collected each month for a year with an expected equal frequency (Fe) across months (one-sample test), and (2) to compare the abundance of bacteria on cloths and sponges sampled in a domestic kitchen environment (two-sample test).

AB - The Kolmogorov-Smirnov (KS) test is a non-parametric test which can be used in two different circumstances. First, it can be used as an alternative to chi-square (?2) as a ‘goodness-of-fit’ test to compare whether a given ‘observed’ sample of observations conforms to an ‘expected’ distribution of results (KS, one-sample test). An example of the use of the one-sample test to determine whether a sample of observations was normally distributed was described previously. Second, it can be used as an alternative to the Mann-Whitney test to compare two independent samples of observations (KS, two-sample test). Hence, this statnote describes the use of the KS test with reference to two scenarios: (1) to compare the observed frequency (Fo) of soil samples containing cysts of the protozoan Naegleria collected each month for a year with an expected equal frequency (Fe) across months (one-sample test), and (2) to compare the abundance of bacteria on cloths and sponges sampled in a domestic kitchen environment (two-sample test).

KW - statistics

KW - microbiology

KW - Kolmogorov-Smirnov test

UR - http://issuu.com/societyforappliedmicrobiology/docs/sept2013_micro

M3 - Article

VL - 14

SP - 28

EP - 30

JO - Microbiologist

JF - Microbiologist

SN - 1479-2699

ER -