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What does relative error percentage mean?
Relative error percentage is a decimal percentage between 1 and 0 such that if you multiply the actual answer by (1-errorrel) you get your approximate value. In other words relative error is an indicator of how far away your apporximation is from the real value in terms of percent of the real value.
What does it mean to have a high percentage error?
It means that, relative to the true value of whatever you are trying to measure, the estimated (or calculated) value is quite a long way off.If the real value of something is 5 but is measure as 7 the absolute error is 7 - 5 = 2, but the percentage error is 100*2/5 = 40%If the true value is 100 and it is measured as 103, the absolute error is 103 - 100 = 3 which is greater than before. But the percentage error is only 100*3/100 = 3%.
What does negative percentage error indicate?
In a numerical analysis sense, it means you've made a mistake/forgotten to take the modulus, as the formula for error calculation involves taking modulus values:Erel= |x-x*| / |x|, where x is the proper value, and x* an approximate value.Percentage error is just the relative error (formula above) x100, so really if you calculate it correctly, its actually impossible to get a negative percentage error.That aside, the only thing a negative error means, besides making a mistake, is that your approximation is larger/smaller than the real value, depending on which one you take away from, as it doesn't matter if you do x-x* or x*-x due to the modulus. The only thing that matters about any error value, is the size/number, which indicates by how much your approximation differs from the real value.
If X is real how can you find the max value of X?
42
What is the difference between the stochastic error term and the residual?
the residual is the difference between the observed Y and the estimated regression line(Y), while the error term is the difference between the observed Y and the true regression equation (the expected value of Y). Error term is theoretical concept that can never be observed, but the residual is a real-world value that is calculated for each observation every time a regression is run. The reidual can be thought of as an estimate of the error term, and e could have been denoted as ^e.
What does relative error percentage mean?
Relative error percentage is a decimal percentage between 1 and 0 such that if you multiply the actual answer by (1-errorrel) you get your approximate value. In other words relative error is an indicator of how far away your apporximation is from the real value in terms of percent of the real value.
What does it mean to have a high percentage error?
It means that, relative to the true value of whatever you are trying to measure, the estimated (or calculated) value is quite a long way off.If the real value of something is 5 but is measure as 7 the absolute error is 7 - 5 = 2, but the percentage error is 100*2/5 = 40%If the true value is 100 and it is measured as 103, the absolute error is 103 - 100 = 3 which is greater than before. But the percentage error is only 100*3/100 = 3%.
What error occurs when a real value is attempted to be assigned to an integer variable?
real value neededA compile time error i.e ..Error: possible loss of precision: double, required: intNone, it will converted automagically.
How are you to assess the relative goodness or value of situations?
By comparison to similar situations, real or hypothetical.
What does negative percentage error indicate?
In a numerical analysis sense, it means you've made a mistake/forgotten to take the modulus, as the formula for error calculation involves taking modulus values:Erel= |x-x*| / |x|, where x is the proper value, and x* an approximate value.Percentage error is just the relative error (formula above) x100, so really if you calculate it correctly, its actually impossible to get a negative percentage error.That aside, the only thing a negative error means, besides making a mistake, is that your approximation is larger/smaller than the real value, depending on which one you take away from, as it doesn't matter if you do x-x* or x*-x due to the modulus. The only thing that matters about any error value, is the size/number, which indicates by how much your approximation differs from the real value.
What is systematic error?
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.
What is forecast error?
In statistics, a forecast error is the difference between the actual or real and the predicted or forecast value of a time series or any other phenomenon of interest.
What is the rotation period of earth measured relative to the sun?
24 hours. Relative to the stars (the "real rotation"), it is about 23h56m.24 hours. Relative to the stars (the "real rotation"), it is about 23h56m.24 hours. Relative to the stars (the "real rotation"), it is about 23h56m.24 hours. Relative to the stars (the "real rotation"), it is about 23h56m.
If X is real how can you find the max value of X?
42
What is the formula to find maximum percentage error between measured and real values of resistor?
From what I can remember it's: |R(measured)-R(real)|/(R(real))*100%
On your Browning B78 30-06 rifle the word caliber is misspelled on the barrel as calber and is this a common error and does it increase the value of your gun?
It happens. Does not add any real value.
What are the application of numerical analysis in real life?
to find out the approximate value
