Assess Significance
작성자: DataMa
설명
Assess significance
Quickly assess the statistical significance of differences on any KPI between two points.
Overview
Significant Variant extension allows you to evaluate the significance of differences between two variants of an A/B test, two periods of time, or virtually any scenario you'd like to compare.
The extension provides statistical tests to ensure accurate analysis, with the most appropriate test automatically selected based on your data and the type of comparison.
Key Features
- Significance Analysis: Conduct comprehensive analyses to determine the statistical significance of changes in your data.
- Automated Statistical Test Detection: Ensure the right test is applied to your data automatically.
Why Choose "Assess Significance"?
- Easy Comparison: Define segments in the Comparison pill and choose the KPI to analyze in the Metric pill. Adjust significance levels and test parameters effortlessly.
- Understand Statistical Significance: Learn when differences in your data are reliable and backed by robust statistical methods.
- Robust Statistical Tests:
- A/B Test Models: Welch t-test, [+ In dashboard extension only for now Bayesian test, Bootstrap test.]
- Time Series Models: [+ In dashboard extension only for now : Volatility analysis, Causal impact analysis.]
- Flexibility and Automation: Automatically selects the most appropriate test for your data while allowing manual adjustments when needed.
Practical Example
Imagine you want to compare the performance of two marketing campaigns. Your KPI shows a difference, but is it statistically significant? With Significant Variant, you can instantly determine if the difference is meaningful using proven statistical models.
Get Started Today
Transform your data analysis with Significant Variant and make decisions based on statistically significant insights.
