A single, extremely large value can affect the median more than the mean because One-half of all the data values will fall above the mode, and one-half will fall below the mode. In a data set, the mode will always be unique. The range and midrange are both measures of variation.
true
It can be computer for ordinal level data or higher. It is NOT effected by extremely large or small numbers
The question is how do the mean and median affect the distribution shape. In a normal curve, the mean and median are both in the same point. ( as is the mode) If a distribution is skewed, its tail is either on the right or the left. If a distribution is skewed the median may be a better value to use than the mean since it has less effect on the shape. Also is there are large outliers, the median has less effect and is better to use. So the mean has a bigger effect on the shape many times than the median.
Extremely large.
I believe you are referring to the word "humongous", which means extremely large or huge.
The home prices in the Phoenix area have a large range. However, in the fourth quarter of 2010, the median home price for a single family home in Phoenix was $289, 515.
First, I will give an example, similar to your question: -11000 -9000 +44000 mean = 8,000 and median = -9000. Symmetrical distributions after infinite sampling will show no difference in mean and median. Large differences are possible with small sample sizes even with symmetrical distributions. If the sample is large and the difference is large, this infers that the distribution is asymmetrical. The skewness of the distribution can be calculated.
All pops have an extremely large amount of sugar but Coca Cola have an extremely large amount of sugar.
You have to make a very large image, then choose the text option and set the size to something over 150 for extremely large text
The median house condo value in the US varies greatly with the location. In some areas the median value is about 170,000 dollars while in large cities the value can be well over 500,000 dollars.
If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
It means extremely large.