Statistical interpretation involves analyzing data to draw meaningful conclusions. It helps in understanding trends, patterns, and relationships within the data. By using various statistical methods, researchers can summarize complex information and make informed decisions based on evidence. This process often includes visualizing data through graphs and charts, which makes it easier to communicate findings. Statistical interpretation is essential in fields like economics, healthcare, and social sciences, where data-driven insights can influence policies and practices. Accurate interpretation ensures that conclusions are valid and reliable, guiding future research and actions.