Próba statystycznej interpretacji wyników badań chemizmu siedlisk łąkowych Lubelszczyzny
Tadeusz Przybysz
Wyższa Szkoła Zarządzania i Administracji w Zamościu, ul. Akademicka 4, 20-400 ZamośćJózef Borowiec
Instytut Gleboznawstwa i Kształtowania Środowiska Przyrodniczego, Akademia Rolnicza w LublinieAgnieszka Kamińska
Katedra Zastosowań Matematyki, Akademia Rolnicza w LublinieAbstract
The paper deals with the use of some of the statistical methods to find the relations between the content of chemical elements in soils, plants and between soil and plant. The studies have been conducted on the results of the examination made on the basis of the meadow plants in the Lublin Region. It concerned the content of chemical elements in soils and plants. The characteristics of the studied traits, mean value, standard deviation and variation coefficient were calculated. In pairs a comparison was made of the mean element content in soils of 4 types and plants using t-Student test. Correlation analysis and partial correlation analysis was performed to assess the strengths of connection between the contents of chemical elements in the soil and also between their content in plants. The multiple linear regression analysis was useful to establish the functional dependences in the studied elements. A great variety of the features was observed, which was caused by huge and multidirectional differentiation of the studied meadow habitats. By means of partial correlation, the evidence was found that proving a significant correlation for a given pair of elements does not always mean that a significance connection between them actually exists. The applied methods turned out to be useful for a description of the connections in the research of many variables.
Keywords:
elements, statistical analysis, meadow habitatReferences
Draper N.R., Smith H. 1973. Analiza regresji stosowana. PWN, Warszawa.
Hellwig Z. 1976. Przechodniość relacji skorelowania zmiennych losowych i płynące stąd wnioski ekonometryczne. Przegląd Statystyczny, 23, 3-20.
Kala R. 1997. Elementy wnioskowania parametrycznego dla przyrodników, WAR, Poznań.
Koronacki J., Mielniczuk J. 2001. Statystyka. WNT, Warszawa.
Morrison D.F. 1990. Wielowymiarowa analiza statystyczna. PWN, Warszawa.
Oktaba W. 1971. Metody statystyki matematycznej w doświadczalnictwie. PWN, Warszawa.
Różaniecka K. 1998. Skład chemiczny zielonek z uwzględnieniem zawartości metali ciężkich w zależności od lokalizacji i fazy wegetacji roślin. Akademia Rolnicza w Lublinie.
Wyższa Szkoła Zarządzania i Administracji w Zamościu, ul. Akademicka 4, 20-400 Zamość
Instytut Gleboznawstwa i Kształtowania Środowiska Przyrodniczego, Akademia Rolnicza w Lublinie
Katedra Zastosowań Matematyki, Akademia Rolnicza w Lublinie
License
Articles are made available under the conditions CC BY 4.0 (until 2020 under the conditions CC BY-NC-ND 4.0).
Submission of the paper implies that it has not been published previously, that it is not under consideration for publication elsewhere.
The author signs a statement of the originality of the work, the contribution of individuals, and source of funding.
Self-Archiving Policy
Agronomy Science has adopted a self-archiving policy called blue by the Sherpa Romeo database. From 2021 authors can self-archive article postprints and editorial versions (under the CC BY 4.0 licence). Articles from earlier years (available under the CC BY-NC-ND 4.0 licence) can only be self-archived as editorial versions.
