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when there are extreme values in the data
Mean would be used in such a situation, when you have to use all the values in the data and median is used in such a situation that you have to use only two values i.e upper and lower values and Mode is used when your data is unobservable like if you want to find the opinion of people. for more information see related link below
The median is the "middle" number in a set of data or a sequence. If you have the sequence 2,3,4,5,6 4 would be the median.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.
Median is only meaningful with a set of data. The median of five would just be five. Similar to asking what the average of 5 is.
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4
when there are extreme values in the data
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
Mean would be used in such a situation, when you have to use all the values in the data and median is used in such a situation that you have to use only two values i.e upper and lower values and Mode is used when your data is unobservable like if you want to find the opinion of people. for more information see related link below
The median is the "middle" number in a set of data or a sequence. If you have the sequence 2,3,4,5,6 4 would be the median.
The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.
Median is only meaningful with a set of data. The median of five would just be five. Similar to asking what the average of 5 is.
You would use the median if the data were very skewed, with extreme values.
MEDIANUse the median to describe the middle of a set of data that does have an outlier.Advantages:• Extreme values (outliers) do not affect the median as strongly as they do the mean.• Useful when comparing sets of data.• It is unique - there is only one answer.Disadvantages:• Not as popular as mean.
why would it be useful to examine a country balance of payment data
The median, by definition, tells you the "half way point" of your data. Exactly half of the observations in the dataset will be less than the median and half will be greater than the median.
mean is the average of numbers in the data set mode is the most frequently occurring value in a data set and median is the middle number of the data set so you would use mean