if you meant by absolute error, then yes.
It must be either, otherwise it is systematic error or bias.
The absolute value is only ever positive. * * * * * Or 0.
Its distance from zero, always a positive number. The absolute value of a positive number is that number. The absolute value of a negative number is its positive equivalent. Usually denoted by vertical bars |n| The absolute value of both 7 and -7 is 7 |-7| = 7 |7| = 7 * * * * * Minor error above: the absolute value of 0 is 0, so not "always a positive number".
Percent Error = {Absolute value (Experimental value - Theoretical Value) / Theoretical Value }*100
If, and only if the positive value is > the negative value.
The level of significance; that is the probability that a statistical test will give a false positive error.
yes
It must be either, otherwise it is systematic error or bias.
The absolute value is only ever positive. * * * * * Or 0.
No because taking the absolute value of a number always yields a positive value.
No. You have it backwards . . . . . the absolute value of a negative number is always a positive number.
Yes, multiplying a Positive value by a Negative value always yields a Negative product.
Because it is neither true or false until the variable is replaced with a specific value making the sentence true or false.
The absolute value will always be positive because if you think about it, the absolute value.
true because if it is an absolute integer it cant be negative and 0 is nor a negative number or positive. so it would always be positive. Example- l-7l its absolute value would be 7, or l4l its absolute value would be 4.
Divide the calculated or estimated error by the magnitude of the measurement. Take the absolute value of the result, that is, if it is negative, convert to positive. This would make the percent error = | error / measurement |.
Not sure what "this" is, but the conclusion is false.