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Raghav Gupta
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Can anybody give proof of the above relationship algebraically?I have not seen the derivation of it.
I was in a hurry and when one is not familiar with the derivation ,often one messes the formula.DrDu said:I don't think that this is a generally valid relationship. I would guess that it holds for a PDF expressed in terms of a lowest order Edgeworth series.
Oh sorry we posted at the same time just seconds delay.Can you give the proof using algebraic manipulation other than using variance or standard deviation?DrDu said:I found also this interesting discussion:
http://stats.stackexchange.com/questions/3787/empirical-relationship-between-mean-median-and-mode
I have seen that link in Mathematics stack exchange before and I did't get it that's why I have posted it here.When you first posted that it is not a valid relationship I thought that modification in statistic may have came for this formula.DrDu said:I hardly know more about this relation than you. In the link I found there are all the references to original articles you need.
"Mean-Mode=3(Mean-Median)" is a mathematical expression that represents a relationship between the mean, mode, and median of a set of data. It states that the difference between the mean and mode of a data set is three times the difference between the mean and median.
No, this equation is not always true for any data set. It is a special case that only applies to certain data sets with specific characteristics.
This equation can be useful in data analysis as it can provide insights into the distribution of the data. If the equation holds true for a data set, it suggests that the data may be skewed towards the mode. This can be helpful in identifying outliers or unusual data points.
No, this equation cannot be used to find the mean, mode, or median of a data set. It only represents a relationship between these three measures of central tendency.
Yes, this equation can be proven mathematically using algebra and properties of the mean, mode, and median. The proof involves setting up equations for each measure of central tendency and manipulating them to show that they are equal to each other.