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reproducibility.

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Q: Repeated measurements that are close to one another demonstrate?
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What demonstrates repeated measurements that are close to one another?

Repeated measurements that are close to one another demonstrate reproducibility.


What do Repeated measurements that are close to one another demonstrate?

Repeated measurements that are close to one another demonstrate high precision and reliability of the measurement process. This suggests that the measurements are consistent and provide an accurate representation of the quantity being measured.


What is the difference between the accuracy of measurements and the precision of measurements?

Accuracy refers to how close a measurement is to the true value, while precision relates to how consistent repeated measurements are to one another. In other words, accuracy describes the closeness of a measurement to the true value, while precision describes the repeatability of the measurements.


How A description of how similar or close measurements are to each other is called?

The description of how similar or close measurements are to each other is called precision. It refers to the consistency or reproducibility of the results obtained from repeated measurements.


If you measure the mass of an object four times and get values that are very close to one another the measurements are said to be .?

If you measure the mass of an object four times and get values that are very close to one another, the measurements are said to be precise. Precision refers to how close repeated measurements are to each other, regardless of whether they are accurate compared to a true value.


How do you describe accuracy and precision?

Accuracy refers to how close a measurement is to the true or accepted value, while precision refers to how close repeated measurements are to each other. High accuracy means that a measurement is very close to the true value, while high precision indicates that repeated measurements are consistent and close to each other.


What is a description of how close measurements are to each other?

The measure of how close measurements are to each other is called precision. Precision reflects the level of agreement between repeated measurements of the same quantity, indicating the reproducibility of results. High precision means that measurements are very close to each other, while low precision indicates greater variability between measurements.


Produces measurements that are close to one another?

Estimation


How can we describe these measurements in terms of accuracy and precision?

Accuracy refers to how close the measured value is to the true value, while precision refers to how close the measured values are to each other. A measurement that is both accurate and precise will be close to the true value and have very little variation among repeated measurements. Accuracy can be evaluated by comparing the measured value to a known standard, while precision can be assessed by determining the consistency of repeated measurements.


Is it possible for an observation to be accurate but not precise?

Yes, it is possible. Accuracy refers to how close an observation is to the true value, while precision refers to how close repeated measurements are to each other. An observation can be accurate if it is close to the true value, even if the measurements are not precise and vary widely.


What is percision?

Precision refers to the level of consistency and reproducibility in measurements or results. It indicates how closely repeated measurements or observations fall to each other. A high precision means that measurements are close to each other, regardless of whether they are accurate or not.


Is it true that Precision is a measure of how close a resulting or measurement is to the accepted value of the quantity being measured?

Precision is a measure of how close repeated measurements are to each other. It does not take into account how close the average of those measurements is to the true or accepted value. Accuracy, on the other hand, is a measure of how close a measurement is to the true or accepted value.