Statistical Analysis
===================

Methods Overview
--------------
Description of statistical methods used in data analysis.

Data Processing
-------------
Steps for data preparation and cleaning:

1. Data validation
2. Outlier detection
3. Normalization
4. Feature extraction

Statistical Tests
---------------
Common statistical tests applied:

* T-tests
* ANOVA
* Regression analysis
* Factor analysis

Visualization Methods
------------------
Data visualization techniques:

* Distribution plots
* Correlation matrices
* Time series analysis
* Comparative analysis

Implementation Details
-------------------
Technical details of statistical implementation:

.. code-block:: python

    def perform_analysis(data, method='t_test'):
        """
        Perform statistical analysis on the data.
        
        Args:
            data (DataFrame): Input data
            method (str): Analysis method
            
        Returns:
            dict: Analysis results
        """
        results = {}
        # Analysis implementation
        return results