Yes. If you have very high or very low outliers in your data set, it is generally preferred to use the median - the mid-point when all data points are arranged from least to greatest. A good example for when to avoid the mean and prefer the median is salary. The mean is less good here as there are a few very high salaries which skew the distribution to the right. This drags the mean higher to the point where it is disproportionately affected by the few higher salaries. In this case, the median would only be slightly affected by the few high salaries and is a better representation of the whole of the data. In general, if the distribution is not normal, the mean is less appropriate than the median.
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
Very superior intelligence
It means very eager to do something.
Very smart.
To diminish over time
To shrink or make less.
Diminish, condense...
very few
Slang-ran out of steam or energy.
Degrade, minimize, or diminish. Those words mean cheapen.
i think you mean diminish. due to his diminished capacity, the man was not held guilty for first degree murder. diminish=lowered.
My excitement will diminish.
The correct spelling is "diminish" (to make smaller or less).
they are very likely to be related.
You cannot, unless there are very few numbers in the series.You cannot, unless there are very few numbers in the series.You cannot, unless there are very few numbers in the series.You cannot, unless there are very few numbers in the series.
Watering fresh cut flowers will diminish their demise. Or, Expenses diminish the return on investment.