Statistical Analysis Toolbox

This is a Python-based statistical analysis toolkit built from scratch for educational and research purposes. This toolbox provides command-line interfaces for various statistical analyses, making it accessible for users without programming experience. Features:

Basic Statistics

• Mean calculation
• Standard deviation
• Variance analysis
• Z-scores computation

Hypothesis Testing

• Independent t-tests
• Paired samples t-tests
• One-way ANOVA
• Post-hoc analysis (Tukey HSD)

Effect Size Measurements

• Cohen's d
• Partial eta squared
• Pearson correlation
• R-squared values

The toolbox provides a command-line interface for various statistical analyses:

Basic Statistics

python stats_cli.py basic -f your_data.csv

Correlation Analysis

python stats_cli.py correlation -f correlation_data.csv

T-Test Analysis

python stats_cli.py ttest -g group1.csv group2.csv

ANOVA

python stats_cli.py anova -g group1.csv group2.csv group3.csv

Input File Format

Single Column Data (for basic statistics)

85
92
78
94
88

Two Column Data (for correlation)

study_hours,test_scores
2,65
3,70
4,75
5,80

Dependencies

• Python 3.x
• NumPy
• SciPy
• Matplotlib