Confidence Interval Calculator
Results:
Confidence Interval:
Lower Bound:
Upper Bound:
Margin of Error:
Understanding Confidence Intervals
A confidence interval provides a range of values that likely contains an unknown population parameter. It helps quantify the uncertainty in sample estimates.
How to Interpret Results
For example, a 95% confidence interval means if you were to repeat the sampling process many times, about 95% of the intervals would contain the true population parameter.
Key Components
- Confidence Level: The probability that the interval contains the true population parameter
- Sample Size: Number of observations in your sample
- Sample Mean: Average value of your sample
- Standard Deviation: Measure of variability in your data