% 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%.
Error. Error. Question does not compute.
1.0966
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.
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 bond if percent yield to maturity is 7%
The error in its area is then 2 percent....
1/100
zero
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.
percent error
no