You can calculate the mode, mean and median of any set of integers.
In the same way that you calculate mean and median that are greater than the standard deviation!
mean
mean median and mode
This depends on your data. Most likely the median though.
You can calculate the mode, mean and median of any set of integers.
In the same way that you calculate mean and median that are greater than the standard deviation!
mean
mean median and mode
Both the mean and median represent the center of a distribution. Calculating the mean is easier, but may be more affected by outliers or extreme values. The median is more robust.
This depends on your data. Most likely the median though.
No. The mean and median are not necessarily the same. They will be the same if the distribution is symmetric but the converse is not necessarily true. That is to say, a distribution does not have to be symmetric for the mean and median to be the same. For example, the mean and median of {1, 1, 5, 6, 12} are both 5 but the distribution is NOT symmetric.
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.
First of all you mean 'MEAN ' not 'mead', here is a set of data ' 24, 29,31,31, 40, 19, 35. First place the data in Rank order. 19,24,29,31,31,35,40 MODE ; is the piece of data that is most frequent. In this case it is '31`', because it appear twice, where the rest appear only once. MEDIAN ; Is the absolute middle placed piece of data. Again in this case it is the first '31' . There three pieces of data to either sides of this '31'. MEAN ; The sum of all the terms of the data divided by the number of terms of data, un this case '7'. Hence [19+24+29,+31+31+35+40] / 7 [ 209] / 7 = 29.85714286....
They are all technically ways to calculate the average of numbers
The mean, median, and mode of any single number is that same number.However, usually you would calculate these values for larger sets of numbers, not for a single number.
The mean deviation from the median is equal to the mean minus the median.