Precision and accuracy do not mean the same thing in science.
Precision refers to how well experimental data and values agree with each other in multiple tests.
Accuracy refers to the correctness of a single measurement. It is determined by comparing the measurement against the true or accepted value.
Accuracy is how close you are to your expected value and precision is how close together your experimental values are.
Both accuracy and precision are important to scientific measurement. I'll try to explain the difference with a couple of illustrations. I should start by saying, sometimes the words are used interchangeably but they shouldn't be. I consider precision to mean resolution. That is how fine/small a reading you can get.Assume an electronic thermometer (digital display) can display answers to the nearest one hundredth of a degree. But, the thermometer isn't able to measure with that accurately. Maybe it's only accurate to the nearest whole degree. In this case the precision is greater than is supported by the accuracy of the device.Now take the opposite case where the thermometer is able to measure temperature accurately to one hundredth of a degree but the instrument can only display whole degrees. In this case the precision does not support the accuracy.Ideally the accuracy and precision of an instrument are the same but often that's not the case.
If you are trying to ask "what does precision in science mean" then I can begin to answer your question. Precision in measurement is a way of deciding how accurate a measurement is. If I were to measure my height with a ruler stick and a pencil against a wall I would expect the measurement to be accurate to a few millimetres. This is usually expressed in scientific terms as "plus or minus" so many millimetres. It is considered unscientific and unfair to describe measurements you may make in scientific work to a greater precision than you can actually make. I am about 5.9 metres (+- 1 cm) but it would be inaccurate and unscientific to say that I was 5.9354 metres tall. JCF
In a scientific measurement, accuracy refers to the closeness of your measurement to the 'true value'. The true value is the result to which a large number of independent experiments, carefully conducted, tends.
Accuracy and precision mean two different things scientifically. Precision is measured in significant figures -- how many digits (not counting leading zeroes) are used to express the measurement? For example a temperature of 98.6 degF is more precise than 99, but less precise than 98.63. For practical purposes nearest tenth of a degree is sufficient precision. Accuracy is how close the measured value is to the real value. If your voltmeter reads 4.993 volts that's very precise -- but if you know the real voltage is around 6 volts, then the meter is not at all accurate so all those digits are meaningless.
Accuracy and precision are synonyms. They both mean without error, they are exactly right, No more and no less.
Poor precision. Precision refers to the consistency of repeated measurements, while accuracy refers to how close a measurement is to the true value. If a speedometer consistently shows a speed that is off by a fixed amount from the actual speed (e.g., always reads 5 mph higher), it has poor accuracy. If it fluctuates widely even for the same speed, it has poor precision.
Standard deviation gives a measure of precision, not accuracy. It quantifies the amount of variation or dispersion of a set of data points around the mean. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are to each other.
In science, an advantage typically refers to a favorable or beneficial aspect of a certain condition or situation that enables better outcomes or performance in experiments or research. For example, having access to advanced technology may provide a researcher with an advantage in conducting experiments with higher precision and accuracy.
Accuracy in science is how close something to an accepted answer. Accuracy and precision are often confused. Precision is how exact an answer is, but it does not necessarily mean an answer is correct if something is exactly 1 meter long, someone who says that object is 0.9 meters long would be more accurate than someone who says it is 0.85, because .9 is closer to 1 than .85, however, .85 is a more precise answer because it is more exact, even though it is less accurate
Words that mean "exact" include "precise" and "accurate." The corresponding nouns are precision and accuracy.
So accuracy is how close the mean is to the true value. Precision is how close all your values are to each other. If you have repeatable results you will see this straight away. Spiking samples with known amounts is a great way to find out if you have as much as you think you have i.e. checking the accuracy
Accuracy is how close you are to your expected value and precision is how close together your experimental values are.
Precision is what level of detail you're talking about. Accuracy is how close you are to what you're talking about. I am 2m tall vs I am 2.01m tall. The second is more precise. If it's closer to my actual height, then it's also more accurate.
-- None of those words relates to "precise". -- "Accuracy" relates to "reliable". -- "Precision" and "accuracy" are two different things. -- "Precise" does not mean "reliable".
Precision means about the same thing as accuracy. It defines the possible or actual deviation from the exact answer. For example, the precision of a numerical value depends on how many significant digits are used, and the possible deviation in measurement from the smallest value given.
In term of Science : Accuracy is how close a numerical measure is to its actual value. In term of mathematics : the number of significant figures given in a number