A confidence interval provides a range of values that likely contains the true value of a population parameter (such as the mean) with a specified confidence level. For example, if we calculate a 95% confidence interval for the population mean, we are stating that if we repeated the experiment numerous times, approximately 95% of those calculated intervals would contain the true population mean.
In other words, the confidence interval gives us an estimate of where the true value of the population parameter lies, based on sample data and the selected confidence level.
Interval Results
| Description | Value |
|---|---|
| Confidence Level | 95.0% |
| Confidence Interval | [−, −] |
| Sample Mean | − |
| Standard Error | − |
| Critical Value (z) | − |
Cumulative Results
| Description | Theoretical Value | Observed Value |
|---|---|---|
| # times the interval contains μ | 0 of 0 (0%) | 0 of 0 (0%) |