Linear Regression and 4 Important Assumptions of It

Introduction Simple linear regression is a foundational statistical method used to model the relationship between two continuous variables: one independent (predictor) and one dependent (outcome). It helps predict the outcome Read More …

Probability and 5 Important Properties of the Normal Distribution Curve

Introduction Probability theory and the normal distribution curve represent two of the most foundational concepts in the field of statistics, especially within disciplines like psychology, education, sociology, and other social Read More …

5 Important Multivariate Analysis Technique

Introduction In psychological and behavioral sciences, researchers often need to analyze multiple variables simultaneously to capture the complexity of human behavior. Simple univariate analyses (which involve a single dependent variable) Read More …