Sampling bias occurs when the sample chosen for a study or survey does not accurately represent the entire population. For example, if a supermarket survey on bread consumption is conducted in an area densely populated with bakeries or in a community where bread holds cultural significance, it could lead to an exaggerated estimation of how much bread adults consume. For instance, conducting such a survey near a bakery or in a region renowned for high bread consumption, such as a European community with a tradition of daily fresh bread, might result in survey participants consuming more bread than the average adult population. This skewed sample would then inaccurately suggest that adults overall consume more bread than they typically do. This kind of bias can distort findings and mislead conclusions about broader dietary habits if not carefully accounted for in study design and sample selection. I want you to reword it and make some changes if necessary so that it makes total sense and is accurate