👉 "Overpartiality" is a concept in statistical inference, which refers to situations where certain assumptions are made about how data is collected and analyzed. In other words, it involves making assumptions that have a significant impact on the results of an analysis.
The goal of overpartiality is to ensure that the conclusions drawn from the data are not influenced by any biases or limitations that may exist in the data collection process or the analysis itself. This can be achieved through several methods:
1.
Bias Avoid