Respuesta :

True.

Anecdotal evidence fallacy occurs when a person places more weight on personal experience or isolated examples than on statistical data. This can lead to a distorted view of reality and lead to people believing in outliers, data points that differ significantly from the rest of the sample. It is crucial in statistical analysis to consider the entire sample rather than just a few outliers, as these may not accurately represent the overall trend. Ignoring the majority of data in favor of a single outlier can result in incorrect conclusions and bad decisions.

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