Data analysis – preference of pertinent statistical method in research

Anita Teli; Rekha Nayaka; Ravi Ghatanatti

doi:10.5455/njppp.2023.13.02104202328022023

Review Article

Online Publishing Date:
10 / 03 / 2023

Natl J Physiol Pharm Pharmacol. 2023; 13(10): 2010-2014

doi: 10.5455/njppp.2023.13.02104202328022023

Data analysis – preference of pertinent statistical method in research

Anita Teli, Rekha Nayaka, Ravi Ghatanatti.

Abstract
Various statistical techniques exist in statistics for the analysis and interpretation of the data. The awareness of assumptions and circumstances governing each statistical method is crucial for selecting the best method for data analysis. The purpose of the study, the type of data, and the measurements (paired or unpaired) are the three aspects to decide the most appropriate statistical method. Statistical procedures that compare means are known as parametric methods, and those statistical techniques that reach median, mean ranks, or proportions are known as nonparametric techniques. The current review aims to help the reader understand the assumptions underlying both parametric and non-parametric statistical approaches and to choose the best ones for the analysis and interpretation of biomedical data.

Key words: Data Analysis; Statistical Methods; Parametric Methods; Non-Parametric Methods; Biomedical Data

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Pubmed Style

Teli A, Nayaka R, Ghatanatti R. Data analysis – preference of pertinent statistical method in research. Natl J Physiol Pharm Pharmacol. 2023; 13(10): 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

Web Style

Teli A, Nayaka R, Ghatanatti R. Data analysis – preference of pertinent statistical method in research. https://www.njppp.com/?mno=144217 [Access: March 14, 2024]. doi:10.5455/njppp.2023.13.02104202328022023

AMA (American Medical Association) Style

Teli A, Nayaka R, Ghatanatti R. Data analysis – preference of pertinent statistical method in research. Natl J Physiol Pharm Pharmacol. 2023; 13(10): 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

Vancouver/ICMJE Style

Teli A, Nayaka R, Ghatanatti R. Data analysis – preference of pertinent statistical method in research. Natl J Physiol Pharm Pharmacol. (2023), [cited March 14, 2024]; 13(10): 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

Harvard Style

Teli, A., Nayaka, . R. & Ghatanatti, . R. (2023) Data analysis – preference of pertinent statistical method in research. Natl J Physiol Pharm Pharmacol, 13 (10), 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

Turabian Style

Teli, Anita, Rekha Nayaka, and Ravi Ghatanatti. 2023. Data analysis – preference of pertinent statistical method in research. National Journal of Physiology, Pharmacy and Pharmacology, 13 (10), 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

Chicago Style

Teli, Anita, Rekha Nayaka, and Ravi Ghatanatti. "Data analysis – preference of pertinent statistical method in research." National Journal of Physiology, Pharmacy and Pharmacology 13 (2023), 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

MLA (The Modern Language Association) Style

Teli, Anita, Rekha Nayaka, and Ravi Ghatanatti. "Data analysis – preference of pertinent statistical method in research." National Journal of Physiology, Pharmacy and Pharmacology 13.10 (2023), 2010-2014. Print. doi:10.5455/njppp.2023.13.02104202328022023

APA (American Psychological Association) Style

Teli, A., Nayaka, . R. & Ghatanatti, . R. (2023) Data analysis – preference of pertinent statistical method in research. National Journal of Physiology, Pharmacy and Pharmacology, 13 (10), 2010-2014. doi:10.5455/njppp.2023.13.02104202328022023

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