User:C.Hua Wang/Bias (statistics)

Lead
The bias of an estimator is the difference between the average value of the estimates obtained in many repetitions of the study and the true value of what it is estimating

Introduction
When we make any measurement, there will be errors, and sometimes these bias will have a serious impact on our results. For example, to investigate the buying habits of the people. If the sample size is not large enough, the results may not be representative of the buying habits of all the people. That is, there may be discrepancies between the survey results and the actual results. Therefore, understanding the source of statistical bias allows us to assess whether our results are close to the real results.

Types (add something more)
Categorical variables


 * Omitted Confounding Variables

A confounding factor has the following properties: the background factor exists and the factor itself will influence the outcome.


 * Measurement Error
 * The Regression Effect
 * Specifying a Mathematical Model
 * Sampling Error
 * Separation of Groups on a Confounding Factor