These trends help analyze the sample and signify the hypothesis. Furthermore, statistics in research helps interpret the data clustered near the mean of distributed data or spread across the distribution. To achieve this, a researcher must create a hypothesis before examining the distribution of data. When conducting a statistical study with large sample pool, biological researchers must make sure that a conclusion is statistically significant. Statistics teaches how choosing a sample size from a random large pool of sample helps extrapolate statistical findings and reduce experimental bias and errors. Statistics in research deals with basics in statistics that provides statistical randomness and law of using large samples. Usually, a biological experiment starts with choosing samples and selecting the right number of repetitive experiments. Statistics in research can help a researcher approach the study in a stepwise manner, wherein the statistical analysis in research follows – 1. Therefore, giving rise to a complicated set of results which are not easily analyzed from statistical tools in research. To be precise, statistics provides a trend in the conducted study.īiological researchers often disregard the use of statistics in their research planning, and mainly use statistical tools at the end of their experiment. However, statistics is more complex a field of study that defines and explains study patterns based on the sample sizes used. Furthermore, biology study focuses on study of living organisms and their complex living pathways, which are very dynamic and cannot be explained with logical reasoning. Moreover, it aids in designing a study more meticulously and also give a logical reasoning in concluding the hypothesis. Statistics is a branch of science that deals with collection, organization and analysis of data from the sample to the whole population. Role of Statistics in Biological Research
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