Hello
Random Errors
For 50 points
Please explain It BRIEFLY
Answers
Answer:
Random error (also called unsystematic error, system noise or random variation) has no pattern. One minute your readings might be too small. The next they might be too large. You can’t predict random error and these errors are usually unavoidable.
Systematic vs. Random Errors
The main differences between these two error types are:
Random errors are (like the name suggests) completely random. They are unpredictable and can’t be replicated by repeating the experiment again.
Systematic Errors produce consistent errors, either a fixed amount (like 1 lb) or a proportion (like 105% of the true value). If you repeat the experiment, you’ll get the same error.
Systematic errors are consistently in the same direction (e.g. they are always 50 g, 1% or 99 mm too large or too small). In contrast, random errors produce different values in random directions. For example, you use a scale to weigh yourself and get 148 lbs, 153 lbs, and 132 lbs.
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These Errors are the errors which are introduced even after following all the procedures to minimise systematic errors. These type of errors may be positive out Negative. These Errors can not be eliminated completely bit we can minimise then by repeated observations and then trains their mean. Random errors over fire to variation in conditions in which experiment is performed.