According to the handbook, it is a meter error and you should call the toll-free number given on the box or inside the handbook. They will probably send you a new meter.
This is a meter error. Contact Customer Service at the telephone number you can find on the back of the meter or in your paperwork.
It is a measure measurement of the amount of error made in an experiment. It is obtained by comparing the actual result, with the result gotten from the experiment. % error = [(experimental value - true value) / true value] x 100
It is 100*(Apparatus Result - True Value)/True Value.
The related link in section 2.4.1 has a good explanation of error which is: "Error is defined as the difference between an individual result and the true value".
Error is deviation in measurement or observation, where the observed value is not the true value. A measurement is usually expressed as a plus or minus value, such as 2.4 +/- .1 Volts. Random error is statistical fluctuation around the true value. Systematic error is a bias, such as miscalibration or consistent error in observation, such as reading a needle type meter from a non perpendicular angle. One example of a systematic error is when reading the peak value of a ballistic galvanometer, that you record the maximum value that the needle crosses, a one-directional error, rather than attempting to interpolate the reading, a two-directional error, but one that gives a better result when many observations are made.
Percent Error is the difference between the true value and the estimate divided by the true value and the result is multiplied by 100 to make it a percentage. The percent error obviously can be positive or negative; however, some prefer taking the absolute value of the difference. The formula is the absolute value of the experimental value (minus) the theoretical value divided by theoretical value times 100. % error = (|Your Result - Accepted Value| / Accepted Value) x 100
The sampling error is the error one gets from observing a sample instead of the whole population. The bigger it is, the less faith you should have that your sample represents the true value in the population. If it is zero, your sample is VERY representative of the population and you can trust that your result is true of the population.
True, 1 yard = 0.9144 meter
Given a true value and the measured value,the error is measured value - true value;the relative error is (measured value - true value)/true value, andthe percentage error is 100*relative error.
A percentage error is 100*(measurement - true value)/true valueThe percentage error is negative if the measured (or calculated) value is smaller that the true value.
True
yes its true