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Guide to Essential BioStatistics VIII: Designing and implementing experiments - Randomization and Experimental Design | BioScience Solutions
In this eighth article in the LabCoat Guide to BioStatistics series, we learn about Randomization and Experimental Design. In the previous articles in this series, we explored the Scientific Method and Proposing Hypotheses and Type-I and Type-II errors, Designing and implementing experiments (Significance, Power, Effect, Variance, Replication, Experimental Degrees of Freedom and Randomization), Critically evaluating experimental data (Q-test; SD, SE and 95%CI), and Concluding whether [...]