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!
The harmonic mean is advantageous in situations where extreme values can skew the average, as it gives more weight to smaller values. It is particularly useful in calculating average rates, such as speed or investment returns. However, the harmonic mean can be sensitive to zero values, as any zero in the data set will result in a zero harmonic mean. Additionally, it may not be as intuitive or easy to interpret as other measures of central tendency like the arithmetic mean.
advantage is that it is used in situations in which there are extreme values in data.
it can give a true picture of average of a data
disadvantages *not to scale *there are limitations
no
disadvantages of histogram compared to barchart
everything
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The advantage of harmonic mean is that it is used to solve situations in which there are extreme data values to true picture. The disadvantage of it is that it can be time consuming to evaluate the data.
There are a great number of advantages and disadvantages of Arithmetic mean. One disadvantages is that it is not accurate.
Advantage:1- it based on observed values just like Arithmetic Mean and Harmonic Mean. 2- it gives equal weightage to all observations.Disadvantage:1- It vanishes if any observation is zero.2- In case of -vevalues it cannot be computed at all.
hest mean
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