Let’s learn to calculate the spread of the data and measure it. with Absolute measures and Relative measures
Let’s learn to calculate the spread of the data and measure it. with Absolute measures and Relative measures
In statistics while handling data there is a need to tell how the data is formed or how it is spread.
So there comes an array of methods which are utilized to find the way data is spread and measure it.
Yes, this topic is from class 11 maths class. It is also overlooked by many, so this assortment of articles will come as a refresher.
We also plan to inform on how to use these techniques in data science.
Absolute measures of dispersions calculate the variance between averages of deviations.
These measures explain the data with standard deviation and mean deviation.
Relative measures of dispersion are used to compare multiple datasets. Relative measures utilize the coefficients of ranges.
Relative measures utilize the coefficient of all the units from absolute measures like coefficient of quartile deviation and coefficient of variation and so on.
We plan to introduce most of the useful methods needed in data science.
methodsofdispersion
ANCOVA is an extension of ANOVA (Analysis of Variance) that combines blocks of regression analysis and ANOVA. Which makes it Analysis of Covariance.
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