SMSN 958.0 7.1588% TYT 2543.0 0.0% SMSD 790.0 5.615% SMSN 943.0 5.481% RIGD 55.9 0.9025% RIGD 55.4 2.5926% SHEL 2308.0 -0.7739% AZN 10008.0 -0.0998% BHP 1709.0 3.076% HSBA 743.5 1.3357% ULVR 4671.0 2.2101% CYPC 40.8 1.41% RIO 4303.5 2.2695% LLPC 148.7 0.0% DGED 107.24 1.3898% BP 331.7 -2.8981% SBID 87.3 -0.2286% DGE 2053.0 -0.3398% GSK 1294.0 1.4902% REL 3737.0 0.1072%
SMSN 958.0 7.1588% TYT 2543.0 0.0% SMSD 790.0 5.615% SMSN 943.0 5.481% RIGD 55.9 0.9025% RIGD 55.4 2.5926% SHEL 2308.0 -0.7739% AZN 10008.0 -0.0998% BHP 1709.0 3.076% HSBA 743.5 1.3357% ULVR 4671.0 2.2101% CYPC 40.8 1.41% RIO 4303.5 2.2695% LLPC 148.7 0.0% DGED 107.24 1.3898% BP 331.7 -2.8981% SBID 87.3 -0.2286% DGE 2053.0 -0.3398% GSK 1294.0 1.4902% REL 3737.0 0.1072%

Standard Error

Updated on August 29, 2023

What is a standard error?

The standard error can be defined as an approximate standard deviation of the sample population. It is a statistical term that is used to measure the accuracy of the sample in presenting the whole population by employing standard deviation.

When a deviation is observed between the actual mean and the sample mean, it is termed as the standard error of the mean.

 

Highlights
  • The standard error can be defined as an approximate standard deviation of the sample population.
  • The standard error is a statistical term used to measure the accuracy of the sample in presenting the whole population by employing standard deviation.
  • When a deviation is observed between the actual mean and the sample mean, it is termed as the standard error of the mean.

Frequently Asked Questions (FAQs)

What are the applications of standard error?

 

We use cookies to help us improve, promote, and protect our services. By continuing to use this site, we assume you consent to our Cookies Policy. For more information, read our Privacy Policy and Terms and Conditions