That's contradictory
In mathematics, accurate means that you get the correct answer, or, if using imprecise processes, that you get close to the real answer.
precise
data integrity
Preciseness is a measure of a machine's ability to repeatedly give results close to the ones it's already given. For example, a pH test may read 6.5, 6.6, 6.5, 6.5, 6.5, 6.6, and be considered pretty precise.Accuracy is a measure of a machine's ability to give a result as close as possible to the real measurement. For instance, if the solution the pH meter was measuring is really6.8, and the machine reads 6.8, the machine is considered accurate.So, a machine could be accurate by giving a result very near to the actual real value, but be imprecise by giving values that ranged by a relatively large amount from trial to trial.
to be accurate
antonym for "accurate" would be imprecise; inexact; inaccurate; incorrect; off the mark;
antonym for "accurate" would be imprecise; inexact; inaccurate; incorrect; off the mark;
In mathematics, accurate means that you get the correct answer, or, if using imprecise processes, that you get close to the real answer.
It is better to obtain as much data possible in order to be as accurate as one can be.
The word inaccurate means not accurate or imprecise. Some antonyms for the word inaccurate would be correct, right, factual, precise, true and accurate.
Accurate data is information that is correct.
Input devices are used to capture data at the earliest possible point in the workflow, so that the data are accurate and readily available for processing.
Input devices are used to capture data at the earliest possible point in the workflow, so that the data are accurate and readily available for processing.
Accuracy and precision in data collection are crucial for professionals across all fields because they ensure the reliability and validity of findings, which form the basis for informed decision-making. Inaccurate or imprecise data can lead to flawed conclusions, potentially resulting in harmful consequences, wasted resources, or missed opportunities. Moreover, maintaining high standards in data collection fosters trust among stakeholders and enhances the credibility of the profession. Ultimately, accurate data is essential for driving improvements and innovation.
it needs to be precise not imprecise
It's not. Next Answer: It is possible for a properly formulated hypothesis to be accurate even if there is no data yet to support it. A hypothesis is a conjectures or best guess to describe a situation of phenomenon based on available information. Until enough proof is available, the hypothesis may be either incorrect or it may be correct or accurate Once sufficient data is accumulated testingt the hypothesis, the hypothesis is either rejected or accepted.
there is an imprecise amount of sugar in this batch of cookies