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An accurate but not precise measurement would be an approximate measurement. For example, in cooking or baking, the ingredients list might indicate one cup of a certain item. Scientifically, however, one cup, (or 8 ounces) would not be a precise measurement for testing purposes. Instead, a precisemeasurement would be required, especially when the results of a specific test need to be reproducible and the quantities are minute, as in micrograms, for example. Accuracy in measurement is of closeness to the actual or exact, but precision in measurement is closeness to the same spot each time it is taken.
newtons is a measurement of weight where as meters is a measurement of length they can not be measured into each other in other words the porblem is impossible to find an answer to
These units are not compatible to each other. canal is not the measurement unit while hectare is a measurement unit that measures length and distance.
Square meter is a unit of measurement for area, and meter is a unit of measurement of length. So these two units cannot be compared to each other.
Definition of Precision: Referring to how close a group of measurements are to each other. Accuracy: Refers to how close the measurement is to the true or accepted value. If the volume of the water was 20 L and I measured it wrong one and got 19, measured it again and got 19, and then measured it a third time and got 19, that would be a PRECISE measurement, since you got the same result three times in a row. It's INACCURATE because it isn't the CORRECT measurement. Hope that helped!
Accuracy.
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.
The bond between the two friends showed an incredible closeness as they shared secrets and supported each other through difficult times.
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.
No, precision and accuracy have different meanings in science. Precision refers to how close measurements are to each other, while accuracy refers to how close measurements are to the true or accepted value. A measurement can be precise but not accurate, or accurate but not precise.
Yes, a measurement can be precise without being accurate. Precision refers to how close repeated measurements are to each other, while accuracy refers to how close a measurement is to the true value. It is possible for measurements to be consistently close to each other (precise) but consistently off from the true value (inaccurate).
An accurate but not precise measurement would be an approximate measurement. For example, in cooking or baking, the ingredients list might indicate one cup of a certain item. Scientifically, however, one cup, (or 8 ounces) would not be a precise measurement for testing purposes. Instead, a precisemeasurement would be required, especially when the results of a specific test need to be reproducible and the quantities are minute, as in micrograms, for example. Accuracy in measurement is of closeness to the actual or exact, but precision in measurement is closeness to the same spot each time it is taken.
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The closeness of measurements to each other is referred to as precision. In other words, precision indicates the degree of consistency between individual measurements.
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. A measurement can be precise but not accurate if it consistently misses the true value by the same amount. Conversely, a measurement can be accurate but not precise if the measurements are spread out but centered around the true value.
Precision
Precision refers to closeness of findings to reality based on a sample