99% Confidence Interval Calculator

Enter the sample mean, standard deviation, and sample size to obtain a 99% confidence interval for the population mean.

Z critical value (99%): 2.576

Standard error: 2.8460

Margin of error: 7.3309

Confidence interval: (117.6691, 132.3309)

How to Use This Calculator

  1. Enter sample statistics (mean, standard deviation, size).
  2. Review the standard error and margin of error for the 99% confidence level.
  3. Use the interval to describe plausible values for the population mean.
  4. Verify that z-based assumptions (large sample or known variance) are satisfied.

Formula

SE = s / √n

ME = zα/2 × SE

CI = x̄ ± ME

For 99% confidence, zα/2 ≈ 2.576

Full Description

A 99% confidence interval provides a wider range than 90% or 95% intervals, reflecting higher certainty demands. It is useful when minimizing Type I errors or when presenting conservative estimates.

Frequently Asked Questions

Why is the interval wider?

Higher confidence requires capturing more of the sampling distribution, increasing the margin of error.

Can I use this for small samples?

For small samples with unknown variance, use t-based intervals instead of z-based.

Does this assume normality?

As with other z-intervals, it assumes either known variance or a large sample size to justify normal approximations.

How do I interpret the interval?

It conveys a range that would contain the true mean in 99% of samples drawn in the same way.