In a normal distribution, the mean and median are the same. Therefore, if the mean is 132, the median will also be 132.
As of 2019, the median household income in Massachusetts was approximately $85,843.
According to census.gov, the median age of Wisconsin is 37.9 years of age.
According to census.gov, the median age in Oregon is 37.8 years of age.
According to census.gov, the median age in Texas is 33.1 years of age.
when is it appropriate to use arithmetic mean as opposed to median
you use it when a list of numbers acure
I use it in class when looking at my student's scores... Often I look at mean, median, and mode to decide to reteach a concept or not.
MEAN
in maths
The mean deviation from the median is equal to the mean minus the median.
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.
You would use the median if the data were very skewed, with extreme values.
You could use mode over median or mean when calculating probability. Mode calculates the greatest number of times an object or number will appear.
The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5The median of 65 and 90 is the same as their mean: 77.5
Perhaps I have some difficulty understanding your question. The mean, median and mode are measures of the center of data or measures of centrality.
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