When information or data is misleading, it means that it can cause confusion or lead someone to draw incorrect conclusions. In the context of evaluating age structure using simplified population pyramids, certain aspects may be overlooked or misrepresented, resulting in an inaccurate understanding of the age distribution.
Related terms
Data Bias: Systematic errors or distortions in data collection or analysis that result in misleading outcomes.
Sampling Error: The difference between results obtained from a sample compared to the true values for an entire population due to random variation.
Confirmation Bias: The tendency for individuals to interpret information in a way that confirms their preexisting beliefs or hypotheses.