difference
distinguish between dispersion and skewness
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.
shape will be changed
Measures of dispersion that do not divide a set of observations into equal parts include the range and the variance. The range is simply the difference between the maximum and minimum values in a dataset, providing insight into the spread but not segmenting the data. Variance measures how far each observation is from the mean but does not create distinct segments of the data like quartiles or percentiles do.
by average we mean any measure of central tendency and mean is one of the averages. other measures of average are median ,mode, geomatric mean and harmonic mean.
Measures of central tendency are averages. Range , the difference between the maximum and the minimum, is a measure of dispersion or variation.
distinguish between dispersion and skewness
dispersion medium is contained
Hardness measures a material's ability to resist permanent deformation, whereas brittleness measures a material's tendency to fail or break without undergoing significant deformation. In other words, hardness relates to the resistance to scratching or indentation, while brittleness relates to the tendency to fracture.
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.
In Statistics, the measure of spread tells us how much adata sample is spread out or scattered. We can use the range and the interquartile range (IQR) to measure the spread of a sample. Measures of spread together with measures of location (or central tendency) are important for identifying key features of a sample to better understand the population from which the sample comes from. The range is the difference between a high number and the low number in the samples presented. It represents how spread out or scattered a set of data. It is also known as measures of dispersion or measures of spread.
shape will be changed
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.
by average we mean any measure of central tendency and mean is one of the averages. other measures of average are median ,mode, geomatric mean and harmonic mean.
The average or mean is one measure of central tendency. There are several.
well if you really want to know, ASK SOMEONE ELSE 'CUZ I HAVE NO DANG IDEA!!!
Yes, quartiles are a statistical measure that can describe the dispersion of a distribution. They divide a dataset into four equal parts, providing insights into the spread and variability of the data. Specifically, the interquartile range (IQR), which is the difference between the first and third quartiles, quantifies the range within which the central 50% of the data lies, highlighting how spread out the values are. Thus, quartiles are useful for understanding both central tendency and dispersion.