Answer:
See below
Step-by-step explanation:
It is important to be both reliable and precise when taking scientific measurements. Precision indicates how similar a metric is to its true meaning. This is necessary because incorrect hardware, bad data analysis or human error will yield inaccurate and false performance.
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