Home / Statistical Tools / Analysis Tools / Confidence Interval / How-To / CI for Standard Deviation
CI for Standard Deviation¶
The CI for Standard Deviation uses the chi-squared distribution to calculate a confidence interval for the population standard deviation, estimating the range of true process variability.
Goal¶
Calculate a 95% confidence interval for the standard deviation of diameter measurements.
Sample Data¶
Press Copy for Excel, then paste the table into a blank worksheet.
| Diameter |
|---|
| 10.02 |
| 9.98 |
| 10.05 |
| 9.95 |
| 10.01 |
| 10.03 |
| 9.97 |
| 10.04 |
| 9.99 |
| 10.00 |
Each row represents one diameter measurement. The data has very little variation: the CI for standard deviation will show the range within which the true process variability is likely to fall.
Steps¶
-
Put the data in Excel
Press Copy for Excel above the table, click cell A1 in a blank worksheet, and press Ctrl+V. The header row lands in row 1 and the 10 data rows in rows 2 through 11.
-
Launch the analysis
From the Excel ribbon, select QXL Stat Tools → Analysis Tools → Confidence Interval → CI for Standard Deviation.
-
Select your data
Select cells A1:A11 (the header row plus all 10 data rows).
-
Configure the analysis
In the Confidence Interval dialog:
- Data Columns: "Diameter" should be checked
- Confidence Level: 0.95 (default)
Click Finish to generate the confidence interval.
Result¶
Quantum XL creates a whisker chart showing the 95% confidence interval for the standard deviation. The statistics table shows the sample standard deviation along with the lower and upper bounds of the interval.