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                                                          • Stratified Sampling
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                                                          • Basic Statistical Descriptors

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                                                          • Arithmetic Mean
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                                                          1. Statistics /
                                                          2. Descriptors /
                                                          3. Central Tendency

                                                          Central Tendency

                                                          To better understand the Central Tendency of a Dataset you can calculate various metrics like:

                                                          • Mean, which is quite sensitive to Outlier
                                                          • Trimmed Mean, discards lowest and highest α\alphaα percent of values. It is less sensitive to Outlier
                                                          • Median
                                                          • Modalwert
                                                          • Alpha-Trimmed Mean

                                                          With these metrics you can determine whether a Distribution of Samples is skewed:

                                                          Bildschirmfoto 2022-05-02 um 10.51.18.png
                                                          → Mode and Median got mixed up in this image.