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29 64 74 83 84 86 98 find the mean absolute deviation?
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
What does it mean to find the sum?
sum means addition so the sum of 5 and 2 will be 7
What do it mean do find a sum or difference in fraction?
The sum is the answer for adding and the difference is the answer for subtracting...
What does find the sum mean?
It means that it is an addition problem.
What does find the sum of mean in maths language?
It means to add
Find the mean of n natural numbers?
Mean = (sum of the n numbers)/n
How do you find a mean of a set of numbers?
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.
Which statistic estimates the error in a regression solution?
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.
What does find the sum of the digits of each number above mean?
Add the digits together. The sum of the digits of 23 is 5.
How do you find the median with two numbers?
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.
What is the mean of 12,17,19,16,14,20,22?
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.
What The sum of the difference of score around the mean is?
The sum of the differences between each score and the mean is always zero. This is because the mean is the "center" of the data and any deviation from the mean in one direction is offset by an equal deviation in the opposite direction. This property is essential in understanding the concept of the mean as a measure of central tendency.
