Publication detail

Statistical evaluation of experimental data

KLIMEŠOVÁ, M. BAŠTINEC, J.

Original Title

Statistical evaluation of experimental data

English Title

Statistical evaluation of experimental data

Type

conference paper

Language

en

Original Abstract

The contribution proceeds from the work [1], which is based on statistical analysis of the measured biological data. The data were processed by Statistics CZ 10.0, which was used for all the testing and determining relationships among variables. The basic of the statistical analysis was a determination whether the chemical substances have some effect on the production of reactive oxygen species that cause oxidative stress, which leads to the damage up to cell death. The measured data were processed using correlation. The work [1] contains testing of a lot of variables but in the following contribution an example of only one analysis - an analysis of hydrogen peroxide production is included. The chosen method of solution can be applied to other fields, such as logistics where it can be used for evaluation of fatigue of truck driver, demands of transport, etc.

English abstract

The contribution proceeds from the work [1], which is based on statistical analysis of the measured biological data. The data were processed by Statistics CZ 10.0, which was used for all the testing and determining relationships among variables. The basic of the statistical analysis was a determination whether the chemical substances have some effect on the production of reactive oxygen species that cause oxidative stress, which leads to the damage up to cell death. The measured data were processed using correlation. The work [1] contains testing of a lot of variables but in the following contribution an example of only one analysis - an analysis of hydrogen peroxide production is included. The chosen method of solution can be applied to other fields, such as logistics where it can be used for evaluation of fatigue of truck driver, demands of transport, etc.

Keywords

Software Statistics, Spearman correlation, Pearson correlation, oxidative stress.

RIV year

2014

Released

09.01.2014

Publisher

College of Logistics

Location

Přerov

ISBN

978-80-87179-32-1

Book

First International Conference on Application of Modern Information Technologies in Logistics

Edition

first

Edition number

1

Pages from

75

Pages to

79

Pages count

5

Documents

BibTex


@inproceedings{BUT106305,
  author="Marie {Klimešová} and Jaromír {Baštinec}",
  title="Statistical evaluation of experimental data",
  annote="The contribution proceeds from the work [1], which is based on statistical analysis of the measured biological data. The data were processed by Statistics CZ 10.0, which was used for all the testing and determining relationships among variables. The basic of the statistical analysis was a determination whether the chemical substances have some effect on the production of reactive oxygen species that cause oxidative stress, which leads to the damage up to cell death. The measured data were processed using correlation. The work [1] contains testing of a lot of variables but in the following contribution an example of only one analysis - an analysis of hydrogen peroxide production is included. The chosen method of solution can be applied to other fields, such as logistics where it can be used for evaluation of fatigue of truck driver, demands of transport, etc.",
  address="College of Logistics",
  booktitle="First International Conference on Application of Modern Information Technologies in Logistics",
  chapter="106305",
  edition="first",
  howpublished="print",
  institution="College of Logistics",
  year="2014",
  month="january",
  pages="75--79",
  publisher="College of Logistics",
  type="conference paper"
}