ERRORSErrors that may occur in the execution of a statistical experiment design. Types of experimental error include human error, or mistakes in data entry; systematic error, or mistakes in the design of the experiment itself; or random error, caused by environmental conditions or other unpredictable factors. Experiment design seeks to minimize experimental error, in order to produce the most accurate data possible.Types Of ErrorsSystematic Error one that always produces an error of the same sign; positive is a reading too high and negative error is a reading too low .

Random Error Occur as variations that are due to a large number of factors each of which adds to its own contribution of the total error. These errors are a matter of chance .

Instrumental Error

Caused by faulty, inaccurate apparatus .

External Error

Caused by external conditions (wind, temperature, humidity) .

Human error

A (a mistake) occurs when you, the experimenter, make a mistake. Examples would be when you set up your experiment incorrectly, when you misread an instrument, or when you make a mistake in a calculation.