Chat with our AI personalities
Type I error happens when a difference is being observed when in truth, there is none or there is no statistically significant difference. This error is also known as false positive.
Improper calibration of the measuring instrument. If the measuring instrument is not at zero prior to measuring the object you will get a systematic error which, is a value either always higher or always lower then the actual value of the object.
Mistake are faulty which can be avoided by careful ans properly trained experiment er.mistakes are committed due to the following causes :-1)Lack of skill 2) faulty observation 3)wrong recording ............error cannot be completely eliminated..but can be minimised....In short:= Mistake Which creat by man and error make by faulty Things which we use.....
Systematic error is a constant or known:effects of the error are cumulativeerror is always positive or negativeAccidental error is a unavoidable error: effects of the error is compensationerror is equally like to be positive or negative
Bias is systematic error. Random error is not.