The correct answer is: A. accuracy and reproducibility.
Accuracy is the closeness of a measured value to the actual value. Reproducibility is the closeness of repeated measurements of the same quantity.
Sensitivity is the ratio of the change in the output of a measuring system to the change in the input. Drift is the gradual change in the output of a measuring system over time. Dead zone is the range of input values for which the output of a measuring system is zero.
Static error is the difference between the measured value and the actual value when the input is constant.
Accuracy and reproducibility are the most important static characteristics of a measuring system. A measuring system that is accurate and reproducible will give consistent results that are close to the actual value.
Sensitivity is also important, but it is not as important as accuracy and reproducibility. A measuring system that is sensitive will be able to detect small changes in the input. However, a measuring system that is sensitive but not accurate or reproducible will not be useful.
Drift and dead zone are not as important as accuracy, reproducibility, and sensitivity. Drift is a problem if it is large, but it is not a problem if it is small. Dead zone is a problem if it is large, but it is not a problem if it is small.
In conclusion, the most important static characteristics of a measuring system are accuracy and reproducibility.