Deviation refers to the difference between a measured value and a reference or true value, while error is often used interchangeably with deviation but can also encompass broader notions of inaccuracies in measurements. Accuracy indicates how close a measured value is to the true value, while precision reflects the consistency or repeatability of measurements. High precision with significant deviation from the true value indicates that measurements are consistent but not accurate, whereas high accuracy with low precision indicates that measurements are close to the true value but vary widely. Thus, understanding deviation and error is essential for evaluating both accuracy and precision in measurements.
You cannot because the median of a distribution is not related to its standard deviation.
angle of deviation = angle of prism x ( refractice index -1)
The precision of a calculated answer is limited by the least precise measurements used in the calculation.
Because the z-score table, which is heavily related to standard deviation, is only applicable to normal distributions.
Deviation refers to the difference between a measured value and a reference or true value, while error is often used interchangeably with deviation but can also encompass broader notions of inaccuracies in measurements. Accuracy indicates how close a measured value is to the true value, while precision reflects the consistency or repeatability of measurements. High precision with significant deviation from the true value indicates that measurements are consistent but not accurate, whereas high accuracy with low precision indicates that measurements are close to the true value but vary widely. Thus, understanding deviation and error is essential for evaluating both accuracy and precision in measurements.
Standard error is a measure of precision.
Accuracy refers to how close a measured value is to the true value, while precision refers to the consistency of repeated measurements. In other words, accuracy is related to correctness, while precision is related to repeatability. A measurement can be precise but not accurate if the values are consistently off by a certain amount, and it can be accurate but not precise if the values vary widely with each measurement.
"Precision" is high when you get the SAME answer every time. Accuracy is high, when you get the CORRECT answer. You can hit a target in the same place everytime which is very HIGH precision; however, if that place is not the "Bulls Eye", your accuracy is lousy.
Mean and standard deviation are not related in any way.
You cannot because the standard deviation is not related to the median.
Precision is a measure of how much tolerance your observation has. If you measure time in an experiment as 1.7 +/- .3 seconds, then you are saying that the obervation is anywhere from 1.4 seconds to 2.0 seconds. On the other hand, if you say 1.70 +/- .05 seconds, you state a range of 1.65 seconds to 1.75 seconds. The second observation is more precise than the first. Accuracy is a measure of how correct a measurement is as compared with a standard. If the instrument that measured 1.7 seconds was actually 1.6 seconds, then it would have an accuracy error of .1 seconds. Precision is related to random error. Accuracy is related to systematic error.
These two qualities are quite different. First off, the concept of 'true value' should be accepted. This is the value to which a large number of measurements tend. Preferably measurements made by different experimenters and by different methods. 'Accuracy' is the closeness to which an individual measurement approaches the 'true value'. 'Precision' is closely related to resolution. And one may have a very precise answer, but still be well away from the true value. Resolution is the number of digits in the answer - and may well have an illusory value.
No, it is not
You cannot because the median of a distribution is not related to its standard deviation.
angle of deviation = angle of prism x ( refractice index -1)
The precision of a calculated answer is limited by the least precise measurements used in the calculation.