A measure of variation, also called a measure of dispersion, is a type of measurement that details how a set of data is scattered from a central or neutral point of origin. Range, variance and standard deviation are three measures of variation that are commonly used.
The variation in colors in the Grand Canyon is striking. He found little variation among the many libraries in the school system. The chess player won his game using a variation of a modern gambit.
An allowable amount of variation on either side of specified measure. If a resistor is labelled as 100 ohms, with 20% tolerance, it might be anywhere from 80 to 120 ohms. If a resistor is labelled as 100 ohms with 10% tolerance, it should range between 90 and 110 ohms. If a resistor is labelled 100 ohm with 5% tolerance, it could vary between 95 and 105 ohms. A tolerance is both ways, if a measure has 10% tolerance, then the total variation is 20%, plus 10 added to minus 10. If you are talking about variation to one side alone, the term is "deviation". If a resistor is supposed to be 100 ohms and actually tests at 105 ohms, it deviates by 5%, but is within allowable variation if it is specified to be within 5% tolerance.
tropic of cancer
Its a variation of chan.
Genetics refers to the study of genes, the microscopic biological building blocks that make us what we are. Used in a sentence: "The study of genetics is helping us to learn why certain diseases run in families."
True
No. A range is one measure of variation. It is easy to find, but it is also a rather crude measure.
It is that the measure is somehow related to the absolute value of the observations compared to some fixed value and also that there IS some variation.
Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.
It is simple to calculate.
scatterplot
The genetic variation of a population is a measure of how much individuals in a population differ genetically.
The variance or standard deviation.
coefficient of variation
Central tendency is measured by using the mean, median and mode of a set of numbers. Variation is measured by using the range, variance and standard deviation of a set of numbers.
It's a way of obtaining a measure of dispersion that is dimension-free.
it helps a little but not really.