This article provides a comprehensive overview of the most commonly used parametric tests, such as one sample t-test, dependent samples independent analysis variance, and covariance. A test is statistical that assumes data being analyzed follows certain probability distribution, typically normal distribution. procedure in to make inferences about population based on data. It covers basics analy...

This study exploits the Neural Network data mining algorithm to predict the value of the dependent variable under certain conditions in order to investigate the effect of the dependent variable values distribution on the prediction accuracy performance. The prediction models were designed using two modelling tools, viz., SPSS and NeuroSolutions where the prediction performance of the two tools ...

Multiple regression is a widely used technique to study complex interrelationships among people, information, and technology. In the face of multicollinearity, researchers encounter challenges when interpreting multiple linear regression results. Although standardized function and structure coefficients provide insight into the latent variable ( ) produced, they fall short when researchers want...