Z Confidence Interval Calculator

Calculate a two-sided confidence interval for a population mean when the population standard deviation is known.

Description

Calculate a two-sided confidence interval for a population mean when the population standard deviation is known.

Z Confidence Interval Calculator is a focused tool for the following task. Calculate a two-sided confidence interval for a population mean when the population standard deviation is known. It reports Lower bound, Upper bound from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.

When to use Z Confidence Interval

Use this calculation to reproduce a defined quantitative method when the observations, units, sampling process, and assumptions match the method shown here.

Sample size
Required integer.
Sample mean
Required number.
Population standard deviation
Required number.
Confidence level
Required integer.

The cited overview of Statistics supplies background for the terminology and domain context used by this tool.1

How Z Confidence Interval works

Calculate a two-sided confidence interval for a population mean when the population standard deviation is known. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.

Lower bound
Returned number.
Upper bound
Returned number.

Limitations and assumptions

  • A numerical result does not by itself establish data quality, causation, representativeness, independence, distributional fit, or practical significance.
  • Sample size must be at least 1.
  • Population standard deviation must be at least 0.
  • Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.

Alternative or Complementary approaches

Inspect the underlying data, visualize its distribution, report uncertainty and sample size, and compare the result with a robust or domain-specific method where appropriate.

References

  1. Statistics — Wikipedia contributors

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