Statistical Design refers to the planning of experiments and studies to ensure that the data collected can provide valid and reliable conclusions. It involves selecting appropriate methods for data collection, determining sample sizes, and deciding how to analyze the data. This careful planning helps minimize bias and variability, leading to more accurate results. In statistics, a well-structured design can significantly enhance the quality of research findings. Common types of statistical designs include randomized controlled trials, factorial designs, and cross-sectional studies. Each design serves specific purposes and is chosen based on the research question and objectives.