Taking a lot of careful precautions.
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Random errors - Random errors can be evaluated through statistical analysis and can be reduced by averaging over a large number of observations. Systematic errors - Systematic errors are difficult to detect and cannot be analyzed statistically, because all of the data is off in the same direction (either to high or too low). Spotting and correcting for systematic error takes a lot of care.
Some of the reasons are: Systematic measurement errors. Random measurement errors. Poor use of equipment. Recording errors. Calculation errors. Poor plotting. Wrong model.
most systematic
... should be increased by a factor of 4. Note that this implies that the only errors are statistical (random) in nature; increasing the sample size won't improve systematic errors.
basically systematic means a thing in the computer in the system called systematic because it has a smart way of working in the system but yeah thats the answer