To evaluate the data in terms of accuracy and precision, we need to understand the definitions of these terms:
- Accuracy refers to how close a measured value is to the actual (true) value.
- Precision refers to how reproducible the measurements are, or how close the measurements are to each other.
Given the data:
- Trial 1: 10.25 g
- Trial 2: 2.36 g
- Trial 3: 29.56 g
The actual value of the atomic mass is 61.78 g.
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Accuracy: All measured values (10.25 g, 2.36 g, and 29.56 g) are far from the actual value (61.78 g), so the data is not accurate.
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Precision: The measured values are not close to each other either (10.25 g, 2.36 g, 29.56 g), indicating that the data is not precise.
Based on this analysis, the most correct statement about the data is:
The data is neither accurate nor precise.