Confidence Interval Calculator
Enter the sample mean, sample size, standard deviation, and confidence level to calculate the confidence interval.
Steps for Calculation
- Input Values:
- Sample Mean: Enter the mean of the sample data (e.g.,
50
). - Sample Size: Enter the number of observations in the sample (e.g.,
100
). - Standard Deviation: Enter the standard deviation of the sample (e.g.,
10
). - Confidence Level: Enter the confidence level as a percentage (e.g.,
95
for 95%).
- Sample Mean: Enter the mean of the sample data (e.g.,
- Calculate Confidence Interval:
- Click the Calculate Confidence Interval button to compute the confidence interval.
- View Result:
- The confidence interval will be displayed below the button.
Detailed Description
- Confidence Interval:
- A confidence interval is a range of values that is likely to contain the population mean with a specified level of confidence.
- Formula: Confidence Interval=Sample Mean±(Z⋅Standard Error)Confidence Interval=Sample Mean±(Z⋅Standard Error).
- Where:
- ZZ = Z-score (based on the confidence level),
- Standard Error=Standard DeviationSample SizeStandard Error=Sample SizeStandard Deviation.
- Z-Score:
- The Z-score is determined by the confidence level. Common Z-scores are:
- 80% confidence level: 1.28
- 85% confidence level: 1.44
- 90% confidence level: 1.645
- 95% confidence level: 1.96
- 99% confidence level: 2.576
- The Z-score is determined by the confidence level. Common Z-scores are:
- Example Calculation:
- For a sample mean of
50
, sample size of100
, standard deviation of10
, and confidence level of95%
:- Z-score = 1.96,
- Standard Error = 10100=110010=1,
- Margin of Error = 1.96×1=1.961.96×1=1.96,
- Confidence Interval = (50−1.96,50+1.96)=(48.04,51.96)(50−1.96,50+1.96)=(48.04,51.96).
- For a sample mean of