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What does histogram find out graphically arithmetic mean or median or mode or harmonic mean?
mode
How do you find the harmonic and geometric mean for grouped data?
The geometric-harmonic mean of grouped data can be formed as a sequence defined as g(n+1) = square root(g(n)*h(n)) and h(n+1) = (2/((1/g(n)) + (1/h(n)))). Essentially, this means both sequences will converge to the mean, which is the geometric harmonic mean.
Advantages and disadvantages of harmonic mean?
Well, honey, the advantage of using the harmonic mean is that it gives more weight to smaller values, which can be helpful when dealing with rates or ratios. On the flip side, it can be heavily influenced by outliers, so if you've got some wild numbers in your data, the harmonic mean might not be the best choice. Just remember, there's no one-size-fits-all when it comes to statistics, so choose your mean wisely!
What is the least value of the data set?
The least value of the data set is called the minimum.
What does the word indicate mean in math?
A mathematical mean is the average of a group of numbers. To find it, you add all of the numbers you're being asked to find the mean for and then divide by the number of numbers you added. In other words, the average.* * * * *There are other means which are useful in other circumstances. The two common ones are the geometric mean and the harmonic mean.The geometric mean, for a group of n positive numbers is the nth root of the product of the numbers.So, G(4,6,9) = cuberoot(4*6*9) =cuberoot(216) = 6The geometric mean is useful with numbers that are used as multipliers, such as growth rates.The harmonic mean of n numbers x1, x2, x3 ,... xn is the number H such thatn/H = 1/x1 + 1/x2 + 1/x3 + ... + 1/xnThe harmonic mean is useful when the average of rates is desired. For example, if you travel k miles at x mph and another k miles at y mph, your average speed would be H(x,y).Mean is another name for 'average'. Here you add up the scores and divide this new number by how many scores there are.in notation this is (Sigma (xf-xi)) / x
