Meaning and Statistical Analysis of T-Tests in SPSS

Authors

  • Muzammil Ahmad Shah Saidu Medical College Swat

DOI:

https://doi.org/10.52206/jsmc.2024.14.1.889

Abstract

Statistical tests help researchers analyze data to determine if observed differences or relationships are likely real and not just due to chance, providing a basis for making informed decisions in health research. Broadly speaking, statistical tests can be classified into two main categories: parametric tests and nonparametric tests.1 These categories are based on the assumptions and characteristics of the data being analyzed.

Additional Files

Published

08-03-2024

How to Cite

1.
Muzammil Ahmad Shah. Meaning and Statistical Analysis of T-Tests in SPSS. J Saidu Med Coll Swat [Internet]. 2024 Mar. 8 [cited 2025 Jan. 17];14(1):64-5. Available from: https://jsmc.pk/index.php/jsmc/article/view/889

Issue

Vol. 14 No. 1 (2024): Journal of Saidu Medical College, Swat

Section

Short Communication

License

Copyright (c) 2024 The authors retain the copyrights. Authors are permitted and encouraged to post their work online (e.g. in institutional repositories or on their website), as it can lead to productive exchanges, as well as greater citation of published work.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Readers may “Share-copy and redistribute the material in any medium or format” and “Adapt-remix, transform, and build upon the material”. The readers must give appropriate credit to the source of the material and indicate if changes were made to the material. Readers may not use the material for commercial purpose. The readers may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.