Sampling (Estimation) Error Calculator

Sample size
Sampling error  =  ± 30.9903

Sampling Error - work with steps

Input Data :
Sample size = 10

Objective :
Find what is sampling error for given data?

Sampling Error = ±√(2500/sampling error) x 1.96

Solution :
Sampling Error = ±√(2500/10) x 1.96
= ±√(250) x 1.96
= ±(15.8114) x 1.96
Sampling Error = ± 30.9903

Estimation or Sampling Error Calculator is an online Probability and Statistics tool for data analysis programmed to calculate the error caused by observing a sample instead of the entire population. This calculator generate the output value of maximum sample error according to the respective input value of sample size.

Definition - Sampling Error

Sampling Error is a key component of random error and it can be taken based on a sample instead of full sample of the population. Sample error is defined as the difference between the estimates derived from the sample and the true population. Increasing size of sample normally can reduce the amount of variation.

The collection of tools employs the study of methods and procedures used for gathering, organizing, and analyzing data to understand theory of Probability and Statistics. The set of ideas which is intended to offer the way for making scientific implication from such resulting summarized data. In many applications it is necessary to calculate the sampling error for a given set of data, where this online sampling error calculator can help you to effortlessly make your calculations for given data set.