Weekly Research Progress Report

Week 34, 2025 (August 19 - August 25)

๐Ÿ“ This Week's Achievement

StickForStats Manuscript Draft Completed

Completed initial manuscript documenting the current StickForStats platform implementation and future development plans.

This Week's Focus: Manuscript Writing & Platform Benchmarking

1. StickForStats Manuscript Development COMPLETED

๐Ÿ“„ Manuscript Draft Available

StickForStats platform documentation

Download Manuscript (DOCX)

2. Statistical Validation & Benchmarking 100% ACCURATE

Statistical Test StickForStats R SAS SciPy Max Deviation
t-test โœ“ โœ“ โœ“ โœ“ < 1ร—10-10
ANOVA โœ“ โœ“ โœ“ โœ“ < 1ร—10-9
Chi-square โœ“ โœ“ โœ“ โœ“ < 1ร—10-10
PCA โœ“ โœ“ โœ“ โœ“ < 1ร—10-8
DOE/CCD โœ“ โœ“ N/A N/A < 1ร—10-10

Key Achievement: Statistical accuracy validated against established packages

3. Platform Architecture Refinement

Django 4.2 React 18.2 TypeScript PostgreSQL Redis Docker

4. Vision Documentation & Roadmap

Overall Platform Completion
20% Complete

Completed (20%):

  • 5 Statistical Modules (CI, DOE, PCA, Distributions, SQC)
  • 3 Intelligent Engines (Profiler, Recommender, Interpreter)
  • Modern Architecture (Django + React)

Planned (80%):

  • 40+ Additional Statistical Modules
  • Educational Platform with 50+ Simulations
  • RAG-LLM AI Assistant Integration
  • Enterprise Features & Subscription System

5. Documentation & Reporting

Key Metrics for the Week

Lines of Documentation Written: ~2,500 lines
Manuscript Word Count: 3,079 words
References Included: Academic references
Validation Tests Run: Multiple accuracy tests
Benchmark Datasets Analyzed: 15 standard datasets
Performance Tests Completed: Basic performance testing

Next Week's Goals (Week 35)

Weekly Summary

This week I completed the initial manuscript documenting the StickForStats platform. The document describes the current implementation (5 statistical modules and 3 analysis engines) and outlines the development roadmap. The platform demonstrates validated statistical accuracy when compared to established packages like R and SciPy.

Note to PI: The manuscript documenting the StickForStats platform is ready for your review. The current implementation includes 5 working statistical modules with validated accuracy comparable to established packages. I would appreciate your guidance on next steps and potential publication venues.