What is Data Consistency (Standard Deviation)?
Calculates how spread out data points are. Low SD means consistency; High SD means volatility.
How it Works
1. Enter Data Set. 2. Calculate Mean. 3. Find Variance. 4. Square Root of Variance.
Step-by-Step Guide
- 1 Enter Data
- Comma separated values.
- 2 Mean
- Find the average.
- 3 Variance
- Average squared deviation.
- 4 Sigma
- Square root gives SD.
Example
Input: 2, 4, 4, 4, 5, 5, 7, 9
Result: SD: 2.13
FAQ
Sample vs Population?
Sample (n-1) is for a subset; Population (n) is for the whole data.
What is Sigma?
The symbol (σ) for Standard Deviation.
What is a 'normal' distribution?
A bell curve where 68% of data falls within 1 SD.
Why square the differences?
To remove negative values and weight outliers heavier.
Low SD good?
Yes, it means data is predictable and consistent.
Conclusion
In finance, this measures risk (volatility). In manufacturing, it measures quality control (consistency).