This question could not make less less. A kg (kilogram) is a measure of mass while a m (metre) is a measure of distance. The two measure entirely different characteristics and the most basic rules of dimensional analyses say that you cannot compare the two. It is like asking how tall icy water is, or how cold your height is!
None, since there can be no conversion. An inch is a measure of length in 1-dimensional space while a cubic foot is a measure of volume in 3-dimensional space. The two measure different characteristics and, according to the most basic principles of dimensional analysis, any attempt at comparisons or conversions between the two are fundamentally flawed.
None, since there can be no conversion. An inch is a measure of length in 1-dimensional space while a square inch is a measure of area in 2-dimensional space. The two measure different characteristics and, according to the most basic principles of dimensional analysis, any attempt at comparisons or conversions between the two are fundamentally flawed.
None, since there can be no conversion. A linear (not liner) foot is a measure of length in 1-dimensional space while a square foot is a measure of area in 2-dimensional space. The two measure different characteristics and, according to the most basic principles of dimensional analysis, any attempt at comparisons or conversions between the two are fundamentally flawed.
None, since there can be no conversion.A cubic foot is a measure of volume in 3-dimensional space while a square foot is a measure of area in 2-dimensional space. The two measure different characteristics and, according to the most basic principles of dimensional analysis, any attempt at comparisons or conversions between the two are fundamentally flawed.
The Absolute Measure of dispersion is basically the measure of variation from the mean such as standard deviation. On the other hand the relative measure of dispersion is basically the position of a certain variable with reference to or as compared with the other variables. Such as the percentiles or the z-score.
no it is a measure of dispersion.
UPF
How do we calculate variance
standard deviation is the best measure of dispersion because.. a)It measure the absolute dispersion b)It is most frequentlyused as prossesses almost all the the qualities that a good measure of variation have. c)It is beased on all observation. d)It is rigidly defined. e)It is capable of further algebraic treatment. f)It is least affected by the fluctuation of sampling.
Variance
It is the measure of central tendency.
standard deviation is best measure of dispersion because all the data distributions are nearer to the normal distribution.
Central tendency is used with bidmodal distribution. This measure if dispersion is similar to the median of a set of data.?æ
The units of dispersion are dependent on the units of the data being measured. Common measures of dispersion include variance and standard deviation, which have square units and the same units as the data being measured, respectively. Another measure, such as the coefficient of variation, is a unitless measure of dispersion relative to the mean.
Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.
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.