answersLogoWhite

0

How do you compute a percent error?

User Avatar

Anonymous

12y ago
Updated: 8/20/2019

% error = |experimental value - theoretical value|/theoretical value * 100%

It is the absolute value of the differe

nce betwee

n the experime

ntal a

nd theoretical values divided by the theoretical value multiplied by 100%.

User Avatar

Wiki User

12y ago

What else can I help you with?

Related Questions

Why does Muse suck?

Error. Error. Question does not compute.


Compute the population mean margin of error for a 90 percent confidence interval when sigma is 4 and the sample size is 36?

1.0966


How do you compute the standard error in refractive index from your graph?

To compute the standard error in refractive index from a graph, calculate the standard deviation of the data points and divide it by the square root of the sample size. This will give you the standard error in your refractive index measurement.


What is relative errors?

Percent error.


What is the difference between low percent error and high percent error?

The difference between low percent error and high percent error is one is low and the other is high


Compute the current price of the bonds if the present yield to maturity is?

Compute the current price of the bond if percent yield to maturity is 7%


When an error of 1 percent is made in the length of a square error is?

The error in its area is then 2 percent....


What is 2 percent error OF 5 percent error?

1/100


Compute an 18 percent gratuity on a 3000 banquet fee?

zero


How do you compute discrete variables?

You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.You do not compute discrete variables. Some variables are discrete others are not. Simple as that. You do not compute people - you can compute their average height, or mass, or shoe size, etc. But that is computing those characteristics, you are not computing people. In the same way, you can compute the mean, variance, standard error, skewness, kurtosis of discrete variables, or the probability of outcomes, but none of that is computing the discrete variable.


What relative error?

percent error


Are percent deviation and percent error the same?

no