- The methods for calculating confidence intervals for a population median assume that our data come from an SRS and will give trustworthy conclusions only if this condition is met.
- These methods make no assumptions about the distribution your data comes from.
- If the $t$-procedures cannot be trusted to estimate a population mean, these procedures may be used to estimate a population median instead.
- Each interval is "symmetric" about the sample median in that the end points of the interval are the same number of points above and below the sample median.
- To calculate an interval with a more adjustable level of confidence, try the Single-Parameter Bootstrap Confidence Interval Calculator.
| Data | |
| Sample data goes here (enter numbers in columns): |
| Find all Intervals with Confidence between | and |