Home> Common Problem> body text

What is the difference between random error and systematic error?

青灯夜游
Release: 2020-11-30 16:19:31
Original
74767 people have browsed it

Difference: 1. Systematic errors are regular and predictable, while random errors are unpredictable and irregular; 2. The factors that produce systematic errors already exist before measurement, while the factors that produce random errors It occurs randomly at the moment of measurement; 3. Random errors can only be estimated but cannot be eliminated, while systematic errors can be avoided as long as sufficient preparation is made in advance.

What is the difference between random error and systematic error?

The difference between random error and systematic error

1. Random error is also called Accidental errors and uncertain errors are mutually compensating errors caused by small random fluctuations in a series of relevant factors during the measurement process. Systematic error refers to a non-random error.

2. System errors are regular and predictable, while random errors are unpredictable and irregular. The factors that produce systematic errors already exist before measurement, while the factors that produce random errors appear randomly at the moment of measurement. Random errors are compensatory and systematic errors are cumulative.

3. Random errors are caused by the influence of various unstable random factors in the analysis process. Systematic errors result in samples being drawn that are inappropriate for the research task; failure to understand the nature of the population distribution and the selection of a sampling procedure that may misinterpret the population distribution.

4. Random errors can only be estimated but cannot be eliminated. For systematic errors, people can analyze their causes and take measures to reduce or offset them; such errors can be avoided as long as sufficient preparations are made in advance.

The above is the detailed content of What is the difference between random error and systematic error?. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!