No, median is not an outlier.
The mean deviation from the median is equal to the mean minus the median.
the median is the middle like 2,3,5,7,4,2.8. the median is 7 because it is in the middle.
The median is 4
Yes, a median can be a negative number.
If a data set consists of 1000 different values can the mean and the median be the same
100.
Yes.
When they are arranged in order, it is the number halfway between the 500th and 501st value.
Only if the distribution is roughly 'normal'. Otherwise, no. Example: 1, 2, 3, 4, 5, 6, 1000 Mean = 145.86 Median = 4
To calculate the mean, you need all of the individual price, add them and divide by the number of prices. The median is the middle figure when they are ranked. Example: To simplify, imagine there are 5 homes that have been sold and these figures are in thousands of dollars. 100, 100, 900, 1000, 1500 The Mean = (100+100+900+1000+1500)÷5= 720 The Median is the middle figure which is 900.
The median is 5.The median is 5.The median is 5.The median is 5.
Because they are both measures of the same characteristic - the central tendency.
The median is 28.The median is 28.The median is 28.The median is 28.
An outlier pulls the median towards it. For example 1,2,3 Median=2 1,2,3,7 Median=2.5
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.
The median is 1.