1. Correction normal variance

2. Typos correction
phitterio · Jan 5, 2025 · 6a919e5 · 6a919e5
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diff --git a/README.md b/README.md
@@ -56,7 +56,7 @@ pip install phitter
 |        **Fit Continuous**        |    <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/fit_continuous_ncdb.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>    |
 |         **Fit Discrete**         | <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/fit_discrete_galton_board.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
 | **Fit Accelerate [Sample>100K]** |      <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/fit_accelerate.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>       |
-|   **Fit Specific Disribution**   | <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/fit_specefic_distribution.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
+|   **Fit Specific Distribution**   | <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/fit_specific_distribution.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
 |     **Working Distribution**     |   <a target="_blank" href="https://colab.research.google.com/github/phitterio/phitter-kernel/blob/main/examples/working_distribution.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>    |
 
 ### **_2. Simulation Notebook's Tutorials_**

diff --git a/phitter/continuous/continuous_distributions/normal.py b/phitter/continuous/continuous_distributions/normal.py
@@ -98,7 +98,7 @@ def variance(self) -> float:
         """
         Parametric variance
         """
-        return self.sigma * 3
+        return self.sigma ** 2
 
     @property
     def standard_deviation(self) -> float: