Use the data set to answer the question. Which best describes the data set?

O It is accurate but not precise.

Correct Value: 59.2

O It is precise but not accurate.

Trial 1

58.7

O It is both accurate and precise.

O It is neither accurate nor precise.

Trial 2

59.3

Trial 3

60.0

Trial 4

58.9

Trial 5

59.2

Done

It is both accurate and precise.

Explanation:

Accuracy and precision are two ways data measurements are described. A measurement is said to be ACCURATE if it is close to the accepted/correct value while PRECISE measurements are those measurements that are close to one another.

In this case, the correct value is 59.2

From observation of the experimental values:

Trial 1: 58.7

Trial 2: 59.3

Trail 3: 60.0

Trial 4: 58.9

Trial 5: 59.2

- One would notice that these measurements in each trial is close to the correct value of 59.2, hence, they are said to be ACCURATE.

- Also, the measurements are close to one another, hence, they are said to be PRECISE

in a nutshell, the data is both accurate and precise

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