The median is more useful than the mean in situations where the data set contains outliers or is skewed. For example, in household income data, where a few extremely high incomes can distort the average, the median provides a better representation of the typical income level. This makes the median a more reliable measure for understanding central tendency in such cases.
when there are extreme values in the data
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.
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 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
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.
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 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.
A median heap is a data structure used to efficiently find the median value in a set of numbers. It combines the properties of a min heap and a max heap to quickly access the middle value. This is useful in algorithms that require finding the median, such as sorting algorithms and statistical analysis.
You would use the median if the data were very skewed, with extreme values.
why would it be useful to examine a country balance of payment 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 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
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.