Taking three measurements instead of one is necessary to ensure accuracy and reliability in the data collected. Multiple measurements help to account for variability and minimize the impact of random errors or anomalies. By averaging the three readings, you can obtain a more precise estimate of the true value, enhancing the overall validity of the results. This practice also allows for better identification of any potential outliers or inconsistencies in the data.
120 degrees
The measurements must be equal to each other.
The closeness of a set of measurements with each other is called precision. Precision refers to the degree to which repeated measurements under unchanged conditions show the same results. It indicates the consistency and reliability of the measurements, regardless of whether they are close to the true value (which relates to accuracy).
69
38045
A single system of measurements is necessary in the scientific community to ensure consistency, clarity, and accuracy in communication. It allows researchers from different countries and disciplines to easily understand and reproduce each other's experiments and findings, thus advancing the progress of science as a whole.
When two measurements are close to each other, it is called precision. It indicates the level of consistency and repeatability in a set of measurements.
It is called "ozone".
If two measurements are very close to each other, then they are considered to be in close agreement or have high precision. This indicates that the measurements are consistent and reliable, with minimal variability between them.
The closeness of measurements to each other is referred to as precision. In other words, precision indicates the degree of consistency between individual measurements.
There is no instrument on that list that can take any reliable measurements.
Precision describes how close measurements are to each other. It indicates the level of consistency and repeatability in a set of measurements. The more precise the measurements, the closer they are to each other.
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.
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.
Each car is different. The measurements of a Smart Car would be different from a SUV.
big and little
precision