I have 3 list:
I have a number like 0.05. It is compared with the values in the "dcv_range" variable, if it is less than or equal to 0.1, then the uncertainty is calculated from the values in the "dcv_accuracy_meas_90d" and "dcv_accuracy_range_90d" variables, like:
0.0025 * 0.05 / 100 + 0.0035 * 0.1 / 100.
Accuracy is given as ± (% measurement +% of range).
If I have a number, for example 95, then it is calculated as:
0.0027 * 95/100 + 0.006 * 100/100
Since this number 95 is more than 10 and less than 100 in the variable "dcv_range"
dcv_range = [0.1, 1, 10 ,100 ,1000] # range # Accuracy is given as ± (% measurement +% of range) dcv_accuracy_meas_90d = [0.0025, 0.0018, 0.0018, 0.0027, 0.0031] # measurement accuracy dcv_accuracy_range_90d = [0.0035, 0.0007, 0.0005, 0.0006, 0.001] # range accuracyAnd need to calculate Uncertainty, for example:
I have a number like 0.05. It is compared with the values in the "dcv_range" variable, if it is less than or equal to 0.1, then the uncertainty is calculated from the values in the "dcv_accuracy_meas_90d" and "dcv_accuracy_range_90d" variables, like:
0.0025 * 0.05 / 100 + 0.0035 * 0.1 / 100.
Accuracy is given as ± (% measurement +% of range).
If I have a number, for example 95, then it is calculated as:
0.0027 * 95/100 + 0.006 * 100/100
Since this number 95 is more than 10 and less than 100 in the variable "dcv_range"