Mean interval
Mean 68, SD 3, n = 36, 95%67.02 to 68.98 with margin about 0.98
Use this free confidence interval calculator to build a z interval for a sample mean or sample proportion, then check the point estimate, standard error, margin of error, lower bound, upper bound, copy result, and recent tab-only history.

Recent answers will appear here.
Mean mode uses a z interval with a known or estimated standard deviation.
Proportion mode uses successes divided by sample size as the point estimate.
Calculate a mean confidence interval from a sample mean, standard deviation, sample size, and confidence level.
Calculate a proportion confidence interval from successes, sample size, and confidence level.
Compare how 80%, 90%, 95%, 98%, and 99% confidence levels change the interval width.
Check the point estimate, standard error, margin of error, z-score, lower bound, and upper bound before copying the result.
Use the visible steps to check homework, survey, lab, or quick statistics notes without sending the history to a server.
67.02 to 68.98 with margin about 0.98
42.2% to 61.8% with margin about 9.8 points
67.1775 to 68.8225
66.7121 to 69.2879
58.0% to 64.0%
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Quick answers about formulas, inputs, examples, result copying, and private in-browser history.
A confidence interval is a range around a sample estimate. It gives a plausible range for the population mean or proportion using the confidence level and the sample information you entered.
This page supports z intervals for one sample mean and one sample proportion. Mean mode uses sample mean, standard deviation, and sample size. Proportion mode uses successes and sample size.
The main inputs are the numbers, operation, mode, or known values the calculator needs. Keep units consistent, enter percentages the way the page label shows, and use the examples as a quick check before trusting the answer.
Read the headline answer, then check the supporting lines and examples to understand how the calculator got there. If one input changes, rerun the tool and compare the new answer instead of guessing.
Mean mode uses standard error = standard deviation / sqrt(sample size), then margin of error = z x standard error. Proportion mode uses p-hat = successes / sample size, standard error = sqrt(p-hat x (1 - p-hat) / sample size), then margin of error = z x standard error.
Margin of error is the amount added to and subtracted from the point estimate to create the lower and upper bounds.
Use mean mode for numeric averages, such as average score, height, time, or measurement. Use proportion mode for successes out of a total, such as yes responses, defect counts, signups, or pass/fail results.
A higher confidence level uses a larger z value, so the interval gets wider. For the same sample, a 99% interval is wider than a 95% interval, and a 90% interval is narrower.
Enter the number of observations in the sample. For mean mode, that is the count behind the sample mean and standard deviation. For proportion mode, it is the total trials or responses, and successes must be between 0 and that sample size.
The calculator clamps proportion bounds to the possible range of 0% to 100%. When the sample is small or the success rate is very close to 0% or 100%, a different method such as Wilson or exact intervals may be more appropriate.
No. It is a quick educational calculator for common z intervals. Advanced studies may need t intervals, paired data, design effects, finite population corrections, exact methods, or statistical review.
Check that the mean and standard deviation came from the same sample, the sample size is correct, successes do not exceed sample size, and the confidence level matches your assignment or report.
Yes. Recent confidence interval answers stay only in the current browser tab while you use the page. They are not sent to a server.