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Absolute value is a measure of distance.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
Distance or circumfrence.
For a sample of data it is a measure of the spread of the observations about their mean value.
It is a measure of the spread of a set of observations around their mean value.
Absolute value is a measure of distance.
It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.It is a measure of the spread of the results around their expected value.
Absolute value is a measure of distance.
The distance a number is from zero.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
Distance or circumfrence.
The wavelength is the distance from one peak (or trough) of the wave to the next peak (or trough). The amplitude is the distance from the mean value to the top of the peak (or the bottom of the trough). Alternatively, the amplitude is one half of the distance between the height of peak to the depth of the trough.How you measure these depends on the nature of the waves.
For a sample of data it is a measure of the spread of the observations about their mean value.
It is a measure of the spread of a set of observations around their mean value.
It is a measure of the spread of the data around its mean value.
Measure the distance from your marked pencil line to the solvent front. Also measure the distance fomr the marked pencil line to the middle of the spot, and divide this by the first distance. This value will be between 0 and 1.
The standard deviation is a measure of the spread of data about the mean. Although it is essentially a measure of the spread, the fact that it is the spread ABOUT THE MEAN that is being measured means that it does depend on the value of the mean. However, the SD is not affected by a translation of the data. What that means is that if I add any fixed number to each data point, the mean will increase by that number, but the SD will be unchanged.