Vol 4 , Issue 1 , January - March 2016 | Pages: 115-119 | Research Paper
Received: January 01, 2016 | Revised: February 20, 2016 | Accepted: March 01, 2016 | Published Online: June 01, 2016
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Hypothesis testing is useful statistical tool understood as a critical testing of the experimental data. The experiment for the removal of heavy metal ions from aqueous solution by adsorption was carried out with the deliberate object of testing hypothesis through different tests meant for the purpose using available data obtained from experiments. Decisions about the validity and significance of the data were made on the basis of hypothesis testing. It enabled us to make probability statements about the adsorption parameters. In the present study, dried mango leaf powder was used to remove Cu, Zn and Pb from heavy metal samples prepared in lab. the experimental data was tested using different statistical tools namely Student’s t-tests, F-test to test the equality of variance of two normal populations, Chi-square test to test the effectiveness of the adsorption in removing heavy metal ions, ANOVA for the analysis of significance of difference between means of multiple samples at the same time, all within 5% level of significance.
Keywords
Adsorption; Experimental Data; Statistical Analysis; Hypothesis Testing.