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Statistical analysis—laboratory analyses

BO Bukola A. Onarinde
RD Ronald A. Dixon
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Variations between treatments were analyzed using repeated measures analysis of variance (ANOVA) and Bonferroni adjustment in SPSS version 14.0. Analysis of variance (ANOVA) is a hypothesis-testing procedure used to determine if mean differences exist for two or more treatments. The purpose of ANOVA in this study is to find out whether the differences between the control and treatment samples are simply due to random error (sampling errors) or whether there are systematic treatment effects that have caused counts in one group to differ from the other. In addition to ANOVA Bonferroni Post- de nova test was used to determine where significant difference between each of the variables lie.

Copyright and License information:  ©2018 Onarinde and Dixon.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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