Statistical analysis: A basic guide for pharmaceutical and bioscience researchers

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DOI: 10.4103/2231-4040.197331

Background: Statistics is the science which summarizes the data of given population according to certain parameters. Pharmaceutical and bioscience research involves the generation of qualitative and qualitative data which is needed to be analyzed statistically. It is therefore essential for the researchers to have a basic understanding of statistical analysis. Objective: The present article is designed to enhance the basic understanding of statistical analysis among pharmaceutical and bioscience researchers without undergoing the technical and mathematical details. Main Text: All the sections are designed to improve the preliminary understanding of researcher by keeping the language and terminology at basic levels. The article highlights the type of data and scale, distribution patterns, measure of central tendency and variability, hypothesis testing, statistical comparison between two or more group, correlation and regression analysis. We also highlighted some new topics including the sensitivity, specificity, and prediction models. Conclusion: The article will help in developing the basic understanding of statistics among the pharmaceutical and bioscience researcher. The article will also help the researcher to identify suitable statistical methods to analyze the data of their research.

Keywords: Analysis of variance, correlation, data, hypothesis, P-value, statistics