outlieritest
The outlier test is a statistical procedure used to detect and remove anomalies in a dataset. An outlier is a data point that is significantly different from other observations in a set of data. Outlier tests are used to identify these anomalies and to prevent them from affecting the accuracy and reliability of statistical analysis.
There are several types of outlier tests, including the Z-score test, the Modified Z-score, and the Direct
Other types of outlier tests include the Modified Z-score, which is a modified version of the Z-score
Outlier tests are widely used in many fields, including finance, medicine, and engineering. They are particularly