Study of Test for Significance of Pearson's Correlation Coefficient
Abstract: This paper investigated the experiment of significance of Pearson's correlation coefficient. It provided an in-depth judgment of dissimilar methods of testing for the significance of Pearson's correlation coefficient, as it is frequently called. The t-distribution, Fisher's z-transformation, and the Statistical Package for Social Sciences (SPSS) were engaged. It was accomplished that each of the methods provided superior enough test for significance of correlation coefficients, which brings to rest the contrasting views that the SPSS does not provide a test for significance of correlation coefficient. The SPSS was recommended ahead of the t-distribution and z transformation due to its easy, robust, and wide applications. Researchers and academics were charged to expose their mentees to this great scientific discovery.
Keywords: Pearson's correlation coefficient, t-distribution
How to Cite?: P. L. Suresh, Kalidindi Narayana Raju, "Study of Test for Significance of Pearson's Correlation Coefficient", Volume 11 Issue 10, October 2022, International Journal of Science and Research (IJSR), Pages: 164-166, https://www.ijsr.net/getabstract.php?paperid=SR22915140002, DOI: https://dx.doi.org/10.21275/SR22915140002