A statistical explanation is a way of understanding a phenomenon by using data and numbers. It involves collecting information, analyzing it, and drawing conclusions based on patterns or trends. For example, researchers might use statistical methods to explain why certain diseases are more common in specific populations. In a statistical explanation, the focus is on the relationships between variables. This can include correlations, averages, and distributions. By examining these relationships, statisticians can provide insights into complex issues, such as the impact of education on income levels or the effects of climate change on weather patterns.