Since 1 kilometre = 1000 metres, then if an error is 1 m in 1 km, then that would translate to 1/1000 = 0.001 x 100 = 0.1% error.
The error in its area is then 2 percent....
type1 error is more dangerous
The relative error puts the size of the error into context. An absolute error of 10, in a number whose value is 1 indicates a range of -9 to 11 for the true value. This means that telling you that the value is 1 is near enough pointless. On the other hand, an absolute error of 10 in a number whose value is 1 billion means that the true value is somewhere in the range 999,999,990 and 1,000,000,010. I suggest that the discrepancy is not significant. The relative error in the first case is 1000% and in the second, it is 1 millionth of 1%.
1 error of omission 2 error of compensation 3 error of original entry 4 error of principle 5 error of commission
Since 1 kilometre = 1000 metres, then if an error is 1 m in 1 km, then that would translate to 1/1000 = 0.001 x 100 = 0.1% error.
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
%error=(abs(experimental value-theoretical value))/theoretical value *100 %error=(abs(5-1))/1*100 %error=(abs(4))/1 *100 %error=4/1 *100 %error=400%
zerro error in a spring balance affects the accuracy in the weight. To find zero error in spring balance, you have to first find the least count of the spring balance and then suspend it freely, if the outcome is +1, the zero error is +1 and if it is -1 ,the zero error is -1.
The error in its area is then 2 percent....
Error -1 is a bad error code. It means that the device OS could not be restored. Try to restore it two more times. If you continue to get Error -1 take the device in for service.
1% off
1% off
type1 error is more dangerous
1/100
Dismental the calculator and press type 1 error there you got it( for any calculator
Seat sensor error