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zusammenfassung/zusammenfassung.md
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|Median|Mittlerer Wert der sortierten Liste. $$\huge \text{Median} = \begin{cases}x_{\left(\frac{n+1}{2}\right)}, & \text{wenn } n \text{ ungerade ist} \\ \\ \frac{x_{\left(\frac{n}{2}\right)} + x_{\left(\frac{n}{2}+1\right)}}{2}, & \text{wenn } n \text{ gerade ist}\end{cases}$$|
|Varianz|$$\huge Varianz = s^2 = \frac{\sum_{i=1}^{n} (x_i - \bar{x})^2 }{n - 1}$$|
|Standardabweichung|$$\huge Standardabbwichung = s = \sqrt{Varianz}$$|
| Mittlere Absolute Abweichung | $$\huge \text{Mittlere Absolute Abweichung} = \frac{\sum_{i=1}^{n} \lvert x_i - \bar{x} \rvert}{n - 1}$$ |
| Mittlere Absolute Abweichung | $$\huge \text{Mittlere Absolute Abweichung} = \frac{\sum_{i=1}^{n} \lvert x_i - \bar{x} \rvert}{n - 1}$$|
|Pearson Korrelationskoeffizient|Zusammenhang zwischen zwei numerischen Variablen. $$\huge r = \frac{\sum_{i=1}^{n} (x_i - \bar{x})(y_i - \bar{y})}{(n - 1)\, s_x s_y}$$ <ul><li>$r \in [-1;1]$ </li><ul><li>1 stark positive Korrelation</li><li>0 keine Korrelation</li><li>-1 stark negative Korrelation</li></ul>|
## Lineare Regression
## Klassifikation
## Unsupervised Learning Clustering