Copyright (c) 2023 REICIT
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The flexibility of using the Pearson correlation statistic is that we can apply it to numerical variables, by collecting random data, which means that we do not know its distribution until the moment of data collection, which leads to estimation if we use parametric statistics. or non-parametric. The objective of this research is to determine the correlation between the number of visits to company A and the number of sales of hydraulic jacks in the production line of company A, Panama, 2023. The research approach was quantitative through the evaluation of the number of visits to the company and the number of sales of hydraulic jacks. A sample of ten sales agents from the production area was taken, taking only one evaluation in a transversal way, with the purpose of knowing if the value of the evaluation of visits is related to the sales of hydraulic jacks, taking into account that both the Association and correlation are ways of relating. The method used is data analysis using the Pearson correlation test. The contrast of hypotheses was carried out, which determines if "there is" or "does not exist" a relationship between the variables and determine the correlation using Pearson's r. The reliability of 95% and the level of significance or the percentage of error of 5%, and a P value that determines the existence of correlation were determined. Data analysis was performed using SPSS statistical software. The result was a P value less than 0.05 or less than 5%, which showed that there is a highly significant relationship. In conclusion, it was possible to affirm the researcher's hypothesis that determines that there is a relationship between the two variables and the correlation through Pearson's r coefficient.
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.
