Wiki User
∙ 10y agoYou could do it by saying that all your measurements were 10 centimetres - irrespective of what they actually were. That would be neither precise nor accurate but it sure would be consistent!
Wiki User
∙ 10y agoAccurate means how close the measured value is to the real, actual value. Precise means how reproducible the measurement is. So, if the real value is 1.00, and you measure it to be 0.785, and every time you measure it, it comes out the same (0.785), then the measurement is VERY precise, but not very accurate.
Accuracy refers to how close a measured value is to an excepted value. Precision refers to how close a series of measurements are to one another For example, if your experimental value is 15.63 and your values are... 12.84 13.02 12.96 They would be precise because they are close to one another but not accurate because they're not even close to the experimental value
''Accuracy is the degree of closeness to true value. Precision is the degree to which an instrument or process will repeat the same value. In other words, accuracy is the degree of veracity while precision is the degree of reproducibility.
A tape-measure could be used to measure a classroom. A metre length stick, or even pacing are other means that can be used. It rather depends on how accurate the measurements need to be.
Apparently, women's clothes sizes are in even numbers because of standardized measurements. When you cut cloth, you can standardize the measurements.
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.
Yes, measurements can be accurate but not precise. Accuracy refers to how close a measurement is to the true value, while precision refers to how close multiple measurements are to each other. So, a measurement can be accurate if it is close to the true value, but not precise if it varies widely from repeated measurements.
Stirring water helps to ensure an even distribution of solutes and temperature throughout the solution, leading to more consistent and accurate measurements. This reduces potential areas of variation and improves the reliability of experimental results by minimizing sources of error.
Accurate means how close the measured value is to the real, actual value. Precise means how reproducible the measurement is. So, if the real value is 1.00, and you measure it to be 0.785, and every time you measure it, it comes out the same (0.785), then the measurement is VERY precise, but not very accurate.
Accuracy refers to how close a measured value is to an excepted value. Precision refers to how close a series of measurements are to one another For example, if your experimental value is 15.63 and your values are... 12.84 13.02 12.96 They would be precise because they are close to one another but not accurate because they're not even close to the experimental value
A scientist would use a graduated cylinder instead of a beaker when they require more precise volume measurements. Graduated cylinders have marked graduations that allow for more accurate volume readings compared to beakers, which do not have precise measurement markings.
Incorrectly converting measurements from one system to another could result in errors in calculations, leading to inaccurate data and potentially incorrect decisions being made based on that data. This can cause misunderstandings, inefficiencies, and even safety hazards in fields where precise measurements are crucial, such as science, engineering, and construction.
-Curo is the suffix even though it is not included in the word. -Curo means to take care of.
Laboratory thermometers are typically very accurate, with some having an accuracy within ±0.1°C or even better. However, accuracy can vary depending on the calibration and quality of the specific thermometer being used. Regular calibration and maintenance are important to ensure accurate temperature measurements.
Never: A measurement made is always an approximation. We can get very close to being accurate with our measurements, but never fully 100% accurate. This is not the fault of the person measuring, or what tool they are using to measure with, but it is a natural law that we (anyone, even superior aliens to humans) cannot ever fully make an absolutely accurate measurement.
Even if they are not precise, they often give a good general idea.
Samples should be finely powdered for melting point determination to ensure uniform heating and accurate results. Fine powder allows for even distribution of heat throughout the sample, leading to consistent melting behavior and precise measurement of the melting point. Unevenly sized particles can result in inaccurate readings and can affect the repeatability of the experiment.