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Create a statistical analysis tool for A/B test results. Features: 1. Calculate conversion rate for Control vs Variant. 2. Compute p-value using two-proportion z-test. 3. Determine statistical significance at 95% confidence level. 4. Calculate required sample size for desired power (80%). 5. Visuali...
Create a comprehensive statistical analysis plan. Components: 1. Research questions and hypotheses. 2. Variables (independent, dependent, covariates). 3. Descriptive statistics (means, frequencies, distributions). 4. Data cleaning and missing data handling. 5. Assumption testing (normality, homogene...
Design statistically valid A/B tests for product features. Pre-test setup: 1. Define hypothesis clearly (adding reviews will increase conversion by 15%). 2. Choose primary metric (conversion rate, not multiple metrics to avoid false positives). 3. Calculate sample size: use online calculators, typic...
