brifly explain about the absolute error?
55.3
You calculate the mean.For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean of these absolute deviations.
By definition of percent error, you can't. But you can approximate zero instead, with the number of decimals appropriate to the accuracy of the measurement, e.g. 0.01, 1E-100, etc.
The mean absolute percent prediction error (MAPE), .The summation ignores observations where yt = 0.
(0.6745 * Standard deviation)/ (n^1/2) :)
brifly explain about the absolute error?
The difference between the corrected reading and the mean (average) reading is called 'Absolute error.
55.3
You calculate the mean.For each observation, you calculate its deviation from the mean.Convert the deviation to absolute deviation.Calculate the mean of these absolute deviations.
By definition of percent error, you can't. But you can approximate zero instead, with the number of decimals appropriate to the accuracy of the measurement, e.g. 0.01, 1E-100, etc.
The mean absolute percent prediction error (MAPE), .The summation ignores observations where yt = 0.
To get the relative error is the maximum error over the measurement. So the maximum error is the absolute error divided by 2. So the maximum error is 0.45. The relative error is 0.45 over 45 cm.
(experimental value - accepted value)/accepted value x 100 This is an absolute value, so ignore any minus sign.
It is your estimate minus the true value divided by the true value and multiplied by 100. So, % error = (estimate - actual) / actual * 100, in absolute value. For example, if you estimate that there are 90 jelly beans in a jar when there are actually 130 your percentage error is: (90-130)/130 * 100 = -40/130 * 100 = -0.308*100 = -30.8% After absolute value, the answer is simply 30.769, or 30.8%.
The absolute error can be as large as 1.5
= absolute error/ mean value of measured quantity times 100 50/5 times 100= 1000%