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Statistical Analysis
Statistical Analysis under Data & Analytics
12 skills
APA-Formatted Results Table Generator for Thesis & Dissertation Writers
Generate dissertation-ready APA 7th edition statistical tables from raw output. Perfect for graduate students formatting their thesis Methods and Results chapters.
Cohort Retention Analysis Builder
Build cohort retention analysis from user event data. Generate retention tables, visualizations, key metrics (D1, D7, D30), and actionable insights for product and growth teams.
Confidence Interval Calculator & Interpreter
Calculate and interpret confidence intervals for means, proportions, and group differences with visualizations and plain-language explanations for business decisions.
Effect Size Calculator & Interpretation Guide
Calculate and interpret effect sizes (Cohen's d, eta-squared, odds ratios, correlations) with context-specific guidance. Distinguish statistical significance from practical importance and convert metrics for meta-analysis.
Mediation & Moderation Analysis Guide
Complete mediation and moderation analysis using PROCESS macro or SEM. Generates runnable code, interprets results, and provides APA reporting templates.
Missing Data Pattern Analyzer
Analyze missing data patterns in research datasets and recommend appropriate handling strategies with statistical tests and implementation code.
Power Analysis Sample Size Calculator
Calculate required sample sizes and statistical power for research studies and A/B tests. Supports t-tests, ANOVA, regression, proportions, and correlations with sensitivity analysis and plain-language explanations.
Regression Forecasting Assistant
Build validated regression models for business forecasting with automatic assumption checking, diagnostic plots, confidence intervals, and extrapolation warnings.
SPSS Statistical Output Interpreter
Interpret statistical output from SPSS, R, Python, or Stata. Explains each statistic in plain language, generates APA-formatted results, and calculates missing effect sizes.
Statistical Assumption Checker & Diagnostic Guide
Educational guide for graduate statistics students learning to test and interpret parametric test assumptions including normality, homogeneity of variance, linearity, independence, and outliers with clear explanations.
Statistical Software Recommendation Engine
Personalized statistical software recommendations for students and researchers choosing between SPSS, R, Python, Stata, and SAS based on your field, programming background, career goals, budget, and timeline.
Statistical Test Selection Guide
Interactive statistical advisor that helps choose the right statistical test for your research or business analysis, then provides assumption checks, Python code, effect sizes, and reporting templates.