fixed typo

examples/pcsaft/parameter_adjustment/adjust_non_polar_non_asssociating.ipynb

@@ -145,7 +145,7 @@
     "3. Normalization: The relative differences (with the applied loss functions) are divided by the number of data points in each corresponding `DataSet`.\n",
     "4. Weighted cost calculation: The costs of each `DataSet` are weighted based on the provided (normalized) `weights`.\n",
     "\n",
-    "The following example demonstrates the construction of an estimator using vapor pressure and liquid density data. We utilize `weights = [3, 2]` (normalized `weights = [0.6, 0.4]`) and a `Loss.huber(0.05)` loss function, which treats predictions above 0.05% linearly in the cost function instead of squaring them (outlier treatment).\n"
+    "The following example demonstrates the construction of an estimator using vapor pressure and liquid density data. We utilize `weights = [3, 2]` (normalized `weights = [0.6, 0.4]`) and a `Loss.huber(0.05)` loss function, which treats predictions above 5% linearly in the cost function instead of squaring them (outlier treatment).\n"
    ]
   },
   {