It is 0.02
Zero error is necessary for measuring instruments for measuring accurate results because it helps to check that the instrument which we are using is whether correct or wrong
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.
It is a defect in a measuring device (Vernier Callipers & Screw Gauge) & zero error is caused by an incorrect position of the zero point.
It may be a little more or a little less; all measuring devices have some error.It may be a little more or a little less; all measuring devices have some error.It may be a little more or a little less; all measuring devices have some error.It may be a little more or a little less; all measuring devices have some error.
I really need the answer tho
square feet are converted to square inches by multiplying by 144. IE... 1ft x 1ft = 1sf. 1sf = 144 si. 2ft x 2ft = 4sf = 576si
A systematic error is a reproducible inaccuracy with a nonzero mean. It can be avoided by ensuring that the measuring equipment is not flawed.
The zero error of a measuring instrument is the measure that it shows when it should actually be showing zero.
Such an error is a recurring error because of a faulty measuring instrument or some recurring experimental condition that distorts the data every time a measurement is made.
The standard error.
A combination of factors increase the risk of a Type 1 error. Giving the wrong amount or wrong diagnosis for a wrong drug would certainly increase an error.
The Vernier caliper is an extremely precise measuring instrument Error is almost impossible The error that we must always look out for is the zero error and parralex error.
A systematic error. This may arise because the measuring instrument is not properly calibrated or because there is a bias in recording the results.
The zero error helps in correcting the misreading you get from any instrument. It helps in maintaining the sensitivity of the instruments.
This will reduce the type 1 error. Since type 1 error is rejecting the null hypothesis when it is true, decreasing alpha (or p value) decreases the risk of rejecting the null hypothesis.
Human error, manufacturing differences in measurements.
It is the measuring instrument it is invented by verniers its error is very small
An eighth of an inch.
Inadequate measuring of the temperature change
in optical instruments,while measuring the lenght,the object and the image must overlap,if not it would show parallax error.