Statistical Analysis

Methods Overview

Description of statistical methods used in data analysis.

Data Processing

Steps for data preparation and cleaning:

Data validation
Outlier detection
Normalization
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:

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