The answer will depend on the context.
The mean absolute deviation is the sum of the differences between data values and the mean, divided by the count. In this case it is 15.7143
sum means addition so the sum of 5 and 2 will be 7
The sum of the differences between each score in a distribution and the mean of those scores is always zero because the mean is defined as the balance point of the distribution. When you subtract the mean from each score, the positive differences (scores above the mean) exactly cancel out the negative differences (scores below the mean). This property ensures that the total deviation from the mean is zero, reinforcing the concept that the mean represents the central tendency of the data.
The sum is the answer for adding and the difference is the answer for subtracting...
It means that it is an addition problem.
It means to add
Mean = (sum of the n numbers)/n
to find the mean of a set of numbers you have to find the total sum of the data divided by the number of addends in the data.
The mean sum of squares due to error: this is the sum of the squares of the differences between the observed values and the predicted values divided by the number of observations.
Add the digits together. The sum of the digits of 23 is 5.
To find the median with two numbers, do as you would to find the "average" or the "mean" by finding the sum between the two numbers and dividing the sum (or total) by two.
To find the mean, you find the average of the numbers. This means that you just add all of the numbers and then divide that sum by how many numbers are in the list. The sum of all the numbers is 120 which you can then divide by 7 to get 17.143.