Step 1: Define precision and bias.
- Precision: Consistency of repeated measurements (low variability).
- Bias: Deviation of the mean measurement from the true value.
Step 2: Instrument A.
Shows scattered values around the true level. Not precise, not unbiased. Hence statement (A) is incorrect.
Step 3: Instrument B.
Values are tightly clustered (precise), but consistently above the true level (positive bias). Hence statements (B) and (C) are correct.
Step 4: Instrument C.
Values are scattered, but shifted above the true level. It shows only positive bias but is not unbiased. Hence statement (D) is correct, (E) is incorrect.
Step 5: Conclusion.
Correct findings are B, C, and D only.