Variance measures the degree of variability in a dataset or metric over time. High variance indicates greater fluctuation, while low variance suggests stability.
Variance affects interpretation and reliability.
Examples in Action
- Daily conversion rate volatility
- Traffic fluctuations by channel
- Performance differences across segments
- Short-term metric instability
Typical Outcomes / Results
- Improved understanding of data stability
- Better distinction between trend and fluctuation
- Reduced misinterpretation of short-term change
- More accurate performance assessment
This definition reflects standard statistical usage.