Bootstrapping Methods Applied for Simulating Laboratory Works

Purpose: The aim of this work is to implement bootstrapping methods into software tools, based on Java. Design/methodology/approach: This paper presents a category of software e-tools aimed at simulating laboratory works and experiments. Findings: Both students and teaching staff use traditional statistical methods to infer the truth from sample data gathered in laboratory experiments. However, the repeated laboratory experiments mean the consumption of a great deal of substances and reactants. At the same time, there are some ethically motivated reasons to reduce the number of animals used in experimentation. Using a bootstrapping tool and computer power, the experimenter can repeat the original experiment on computer, obtaining pseudo-data as plausible as those obtained from the original experiment. Originality/value: Provides data on implementing bootstrapping methods into software e-tools, simulating laboratory experiments in didactic and research activities. (Contains 4 figures.)