AAPL 215.255 1.206% MSFT 387.797 1.1152% NVDA 117.52 1.8106% GOOGL 163.89 2.0041% GOOG 166.295 2.2284% AMZN 195.54 1.4106% META 584.06 0.2919% AVGO 195.432 3.584% LLY 837.01 1.7629% TSLA 235.86 4.6824% TSM 173.76 0.3639% V 339.87 1.5234% JPM 239.11 1.7619% UNH 503.2 -0.1191% NVO 79.0 -2.445% WMT 86.33 0.8646% LVMUY 133.32 -0.2842% XOM 115.41 1.5576% LVMHF 668.41 0.2369% MA 536.09 1.1128%
AAPL 215.255 1.206% MSFT 387.797 1.1152% NVDA 117.52 1.8106% GOOGL 163.89 2.0041% GOOG 166.295 2.2284% AMZN 195.54 1.4106% META 584.06 0.2919% AVGO 195.432 3.584% LLY 837.01 1.7629% TSLA 235.86 4.6824% TSM 173.76 0.3639% V 339.87 1.5234% JPM 239.11 1.7619% UNH 503.2 -0.1191% NVO 79.0 -2.445% WMT 86.33 0.8646% LVMUY 133.32 -0.2842% XOM 115.41 1.5576% LVMHF 668.41 0.2369% MA 536.09 1.1128%

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?