In statistics, interval estimation is the use of sample data to estimate an interval of possible values of a (sample) parameter of interest. This is in contrast to point estimation, which gives a single value.

Sep 2, 2024 · What is Interval Estimation? Interval estimation refers to the statistical technique used to estimate a population parameter by calculating an interval within which the parameter is expected to …

An interval estimate is a range of values for a parameter. For example, you might think that the mean of a data set falls somewhere between 10 and 100 (10 < μ < 100).

Interval estimation, in statistics, the evaluation of a parameter—for example, the mean (average)—of a population by computing an interval, or range of values, within which the parameter is most likely to …

Interval estimation is an alternative to the variety of techniques we have examined. Given data x, we replace the point estimate ˆ (x) for the parameter by a statistic that is subset ˆC(x) of the parameter …

A useful way to express this uncertainty is to calculate an interval estimate or confidence interval for the population mean, E (Y).

Interval estimation is another approach for estimating a parameter θ. Interval estimation consists in finding a random interval that contains the true parameter θ with probability

In this Section, we will explore the concept of an interval estimate. We have seen how the Method of Moments, Maximum Likelihood Estimation and Least Squares can be used to find point estimates of …

Interval estimation is the use of sample data to calculate an interval of possible (or probable) values of an unknown population parameter, in contrast to point estimation, which is a single number.

May 14, 2025 · Discover the principles and applications of interval estimation in statistical inference, covering confidence intervals, margin of error, and examples.