A Statistical Analysis of the Results of the ‘XRF’ Analysis of Lead Contaminated Soil and Sequential Extraction based on t-test.

  • Piga Luigi Environmental Engineering Università di Roma
  • Adewole O Environmental Engineering, Università di Roma
Keywords: Sequential extraction, lead contaminated soil & transport, XRF, analysis, Hypothesis testing, t-test

Abstract

A statistical analysis and hypothesis testing was carried out on the randomly selected samples from experimental results of the ‘XRF’ analysis and sequential extraction of soils contaminated with lead using lead nitrate of known amount.
Looking at our previous experimental results, we found that the concentration of the solid contaminated samples: OL S 1-2, & OL S 3-2 ( 2,080.26, & 2,080.41mg/kg) respectively in that order are very close to the concentration of lead also obtained using the ‘XRF’ analysis for the liquid solutions obtained from the sequential extraction procedures of soil samples: ‘OL S 1-2, & 32 as ( 2,110mg/kg, & 2,090mg/kg) respectively in that order.
An hypothesis testing was conducted within the underlying assumptions based on the null hypothesis and our claim for equal means.
The p-value found was greater than the α-value, and also corroborating this fact, the t-statistics calculated absolute value is less than the critical value at the 5% significant level as presented and shown in our table of results.
We can quite well agree from our previous results findings, and corroborated by the findings of the statistical testing, we can confident agree the results from the ‘XRF’ are reliable enough, without any need to do the sequential extraction for obtaining the concentrations

Author Biographies

Piga Luigi, Environmental Engineering Università di Roma

Environmental Engineering

Adewole O, Environmental Engineering, Università di Roma

Environmental Engineering

Published
2017-09-30
How to Cite
Luigi, P., & O, A. (2017, September 30). A Statistical Analysis of the Results of the ‘XRF’ Analysis of Lead Contaminated Soil and Sequential Extraction based on t-test. EPH - International Journal of Agriculture and Environmental Research (ISSN: 2208-2158), 3(9), 44-48. Retrieved from https://ephjournal.com/index.php/aer/article/view/82