precision
For every quantum state, the standard deviation of it's position multiplied by the standard deviation of it's momentum has to be larger than or equal to the reduced Planck constant divided by two. σxσp ≥ hbar/2 This doesn't mean that you can't measure position and momentum at the same time. What it means is that the products of their deviations from their expectation values can't go lower than hbar/2, ie. there is a limit to the combined precision of the two measurements. It can also be shown that the combined precision of several other quantities have a lower limit, such as energy and time.
A micropipette or burette can be used to manually measure quite accurately. Pumps can be used in automated instruments. It has to be noted that the lower the volume the less accuracy and precision can be obtained.
Pair it with a hydrogen half cell
the nearest .01 mL
To accurately measure 12.6 mL of liquid ethanol, it would be best to use a graduated cylinder or a syringe with a volume capacity of at least 15 mL. These instruments are designed to measure liquid volumes with higher precision compared to other common household measuring tools like cups or spoons.
Yes SD is ofcourse measure of precision
Standard error is a measure of precision.
Accuracy is a measure of how close to an absolute standard a measurement is made, while precision is a measure of the resolution of the measurement. Accuracy is calibration, and inaccuracy is systematic error. Precision, again, is resolution, and is a source of random error.
Units of measure do follow the standard deviation.
Standard deviation is a measure of the spread of data.
Standard error is the difference between a researcher's actual findings and their expected findings. Standard error measures the accuracy of one's predictions. Standard deviation is the difference between the results of one's experiment as compared with other results within that experiment. Standard deviation is used to measure the consistency of one's experiment.
The standard deviation is a measure of the spread of data.
Accuracy STD on the other hand measures precision.
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
1. Standard deviation is not a measure of variance: it is the square root of the variance.2. The answer depends on better than WHAT!
No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.
to measure forecast accuracy.