Statistical Testing & Distribution Analysis
Testing ideas with data to see what really works.
Cash or Credit Card - Payment Method ImpactExploring how payment methods influence customer spending through hypothesis testing and statistical analysis. |
Why Every Class Counts - Attendance vs PerformanceDemonstrate correlation between attendance and academic performance using statistical hypothesis testing. |
Connected or Disconnected? - Social Media ImpactExamine social media's effect on student relationships using statistical testing and behavioral analysis. |
Did You Sleep Well Last Night? - Guest SatisfactionEvaluating guest sleep quality to improve satisfaction using statistical testing and hospitality metrics. |
East Coast Alert - Crime Probability AnalysisInvestigate sex crime probabilities across states using statistical analysis and risk assessment methodologies. |
The Best Movie of All Time - Genre AnalysisAnalyzing top IMDb movie genres using statistical distribution analysis and ranking methodologies. |
Analyzing Ads - Innerwear CampaignA/B testing framework for intimate apparel advertising effectiveness using statistical significance testing. |
Are Tunics Truly the Top Seller?Fashion retail hypothesis testing using t-tests and ANOVA to validate product performance claims. |
Evaluating Discount Vouchers - Women's LingeriePromotion effectiveness testing using chi-square and proportion tests for lingerie retail campaigns. |
Nasi Lemak vs Kopi-O Preference AnalysisMalaysian food preference study using statistical testing to understand cultural dining patterns. |
Sentiment Analysis - Jewelry Product ReviewsNatural language processing with statistical validation for jewelry e-commerce review analysis. |
Video Game Sales Trend AnalysisGaming industry trend analysis using Mann-Whitney U tests and seasonal significance testing. |
What Makes a Song Go Viral?Music industry analytics using correlation analysis and significance testing for viral content factors. |
Working Hours Analysis - Footwear ShopRetail operations optimization using ANOVA and post-hoc testing for staff scheduling effectiveness. |