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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

g-index: 90

Vol. 7, Issue 4, Part C (2021)

Application of statistical tools in the analysis of adsorption data

Application of statistical tools in the analysis of adsorption data

Author(s)
Dr. Achla Kaushal and Dr. M. D. Joshi
Abstract
This study was carried out to analyse the experimental data by hypothesis testing using various statistical tests. It enabled us to make significant statements about the adsorption parameters. Dried mango leaf powder was used as an adsorbent to remove Cu (II), Zn (II) and Pb (II) ions from contaminated water samples. Student’s t-tests, F-test and Chi-square test and ANOVA were used for the analysis of data. The calculated values of t, F and chi-square were compared with their tabulated values listed in literature within 5% level of significance. Results showed the experimental data in an accepted region on the probability charts, signifying the validity of data % zinc ions removed, equilibrium time, the effectiveness of adsorption in the removal of zinc ions, equality of variance of two samples of different concentrations and difference of means of multiple samples.
Pages: 182-186  |  851 Views  234 Downloads


International Journal of Applied Research
How to cite this article:
Dr. Achla Kaushal, Dr. M. D. Joshi. Application of statistical tools in the analysis of adsorption data. Int J Appl Res 2021;7(4):182-186. DOI: 10.22271/allresearch.2021.v7.i4c.8485
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