Weighted analysis is a statistical method used to evaluate data by assigning different levels of importance, or weights, to various factors. This approach helps to ensure that more significant elements have a greater influence on the overall results, leading to more accurate conclusions. For example, in a survey, responses from certain demographics may be weighted more heavily to reflect their importance in the overall population. This technique is commonly applied in fields like market research, economics, and social sciences. By using weighted analysis, researchers can better understand complex data sets and make informed decisions based on the most relevant information.