Precision relies on the level of detail and specificity in the measurements or data being collected. It is influenced by factors such as the instruments or methods used for measurement, the consistency of data collection, and the level of accuracy in recording data. Additionally, precision can be affected by human error, environmental conditions, and the overall variability in the data being measured.
Yes, accuracy can depend on the precision of the instrument. The precision of an instrument determines the level of detail and resolution in measurements, while accuracy refers to how close the measured value is to the true value. Higher precision can improve the accuracy of measurements by reducing random errors, but it does not guarantee accuracy if there are systematic errors present in the instrument.
the precision of the least precise measuement
A precision measuring instrument provides accurate and consistent measurements, typically to a high degree of precision (e.g. micrometers or calipers). Non-precision measuring instruments provide general measurements but with less accuracy and consistency, such as tape measures or rulers.
Precision is a measure of how close repeated measurements are to each other. It indicates the consistency or reproducibility of results. In the context of statistics or scientific experiments, precision reflects the degree of exactness in the data collected.
Precision instruments provide accurate measurements with low margins of error, while non-precision instruments offer less accurate results with higher margins of error. Precision instruments are designed for tasks that require high accuracy, such as scientific research and engineering, while non-precision instruments are suitable for rough estimations or general use where high accuracy is not critical.
Yes, accuracy can depend on the precision of the instrument. The precision of an instrument determines the level of detail and resolution in measurements, while accuracy refers to how close the measured value is to the true value. Higher precision can improve the accuracy of measurements by reducing random errors, but it does not guarantee accuracy if there are systematic errors present in the instrument.
The answer will depend on the elements which you have included in the 98% and the precision of those figures.
The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.The optimum sample size is based on a trade-off between the precision required for the estimate(s) and the cost of sampling. The precision required depends on the consequences of making the wrong decision. I would expect much higher precision for a medical trial than I would for a weather forecast.The necessary sample size, to attain that precision will depend on the characteristic that is being estimated (mean, variance, proportion), the underlying distribution and the test being used. Then there is the cost (money and time) that depend on the sample size.Since you have not bothered to share any information on any of these factors, I cannot provide a more useful answer.
Precision is a noun.
it means i precision you
Precision is a writer's attention to accuracy in world choice.
precision instrument: caliper, micrometer non-precision measuring instrument: your hand, a piece of string
Well it would all depend on where you live but there are hundreds of vocational schools that offer these classes and certifications. There are also several community colleges that offer this as well.
subtilis : precisesubtilitas: precision
Precision Drilling was created in 1969.
Norma Precision was created in 1895.
Precision Propellers was created in 1979.