Revisiting Statistical Design and Analysis in Scientific Research |
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| Authors: | Kyeong Rok Choi Jae Yong Ryu Sang Yup Lee |
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| Affiliation: | 1. Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 plus program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;2. Systems Metabolic Engineering and Systems Healthcare Cross‐Generation Collaborative Laboratory, KAIST, Daejeon, Republic of Korea;3. BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, Daejeon, Republic of Korea |
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| Abstract: | Statistics is essential to design experiments and interpret experimental results. Inappropriate use of the statistical analysis, however, often leads to a wrong conclusion. This concept article revisits basic concepts of statistics and provides a brief guideline of applying the statistical analysis for scientific research from designing experiments to analyzing and presenting the data. |
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| Keywords: | data presentation hypothesis testing regression statistical analysis statistics |
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