Concept explainers
(a)
Interpretation:
The average mass from each set of data is to be calculated. Also, the most accurate one is to be identified.
Concept introduction:
Precision is defined as the closeness of two measurements with each other. Accuracy refers to the closeness of the measured values to the standard or known value. Some errors also occur in the calculation of the measured quantities.
The two types of errors are as follows:
1. Systematic error: This error is a part of the experimental setup or faulty devices.
2. Random error: This error occurs always and is due to instruments’ precision.
Average mass is calculated by the sum of all the masses divided by the number of masses.
(b)
Interpretation:
The most precise data is to be identified. Also, whether the most precise data is equal to the most accurate data or not is to be determined.
Concept introduction:
Precision is defined as the closeness of two measurements with each other. Accuracy refers to the closeness of the measured values to the standard or known value. Some errors also occur in the calculation of the measured quantities.
The two types of errors are as follows:
1. Systematic error: This error is a part of the experimental setup or faulty devices.
2. Random error: This error occurs always and is due to instruments’ precision.
Average mass is calculated by the sum of all the masses divided by the number of masses.
(c)
Interpretation:
The most accurate and the most precise data is to be identified.
Concept introduction:
Precision is defined as the closeness of two measurements with each other. Accuracy refers to the closeness of the measured values to the standard or known value. Some errors also occur in the calculation of the measured quantities.
The two types of errors are as follows:
1. Systematic error: This error is a part of the experimental setup or faulty devices.
2. Random error: This error occurs always and is due to instruments’ precision.
Precision is estimated by the range of the data. The formula to calculate the range is as follows:
(d)
Interpretation:
The least accurate and the least precise is to be identified.
Concept introduction:
Precision is defined as the closeness of two measurements with each other. Accuracy refers to the closeness of the measured values to the standard or known value. Some errors also occur in the calculation of the measured quantities.
The two types of errors are as follows:
1. Systematic error: This error is a part of the experimental setup or faulty devices.
2. Random error: This error occurs always and is due to instruments’ precision.
Precision is estimated by the range of the data. The formula to calculate the range is as follows:
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