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β 12y agocoefficient of variation
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β 12y agomedian
no
Absolute value is a measure of distance.
If you are referring to "range" in statistics, a range is a measure of dispersion that uses the difference in the highest value in a set of data and the lowest value in the same set of data. For example, if you have five grades on a test (89, 100, 85, 70, and 92), the range would be 100-70 = 30. Hope this helps!
Absolute dispersion usually refers to the standard deviation, a measure of variation from the mean, the units of st. dev. are the same as for the data. Relative dispersion, sometimes called the coefficient of variation, is the result of dividing the st. dev. by the mean, hence it is dimensionless (it may also be presented as a percentage). So a low value of relative dispersion usually implies that the st. dev. is small in comparison to the magnitude of the mean, as in a st. dev. of 6cm for a mean of 4m would give a figure of 0.015 (1.5%) whereas with a mean of 40cm it would be 0.15 or 15%. However with measurements either side of zero and a mean close to zero the relative dispersion could be greater than 1. As is usual, interpret with caution.
the range is the total number of values your set can take. If you take all the number from 5 to 25. Your range is 5-25.
median
It's a statistical tool used in psychology. A simple way of calculating the measure of dispersion is to calculate the range. The range is the difference between the smallest and largest value in a set of scores. This is a fairly crude measure of dispersion as any one high or low scale can distort the data. A more sophisticated measure of dispersion is the standard deviation which tells you how much on average scores differ from the mean.
The mean is used to measure the average of a set of values, especially when the data is normally distributed. The median is used to find the middle value of a dataset when there are extreme values or outliers present, as it is less affected by extreme values.
Moz measure is a term used in statistics to represent the average of the absolute values of all the observations in a dataset. It helps provide a single value that summarizes the overall magnitude or dispersion of the data points.
An extreme value will drag the mean value towards it.
It is a measure of how likely the observed values (or those more extreme) are under the assumptions of the regression model.
No, the BTU (British Thermal Unit) value of gasoline does not increase if the temperature decreases. The BTU value of gasoline is a measure of its energy content and is not affected by temperature changes.
Yes, the pH value of an acid is affected by the concentration of the acid. As the concentration of the acid increases, the pH value decreases (becomes more acidic). This is because pH is a measure of the hydrogen ion concentration in a solution, and higher acid concentrations result in more hydrogen ions.
no
Absolute value is a measure of distance.
Standard deviation gives a measure of precision, not accuracy. It quantifies the amount of variation or dispersion of a set of data points around the mean. Accuracy refers to how close a measurement is to the true value, while precision refers to how close repeated measurements are to each other.