Well, isn't that just a happy little question! When we talk about the sum of a number "n" and 12, we're simply saying to add those two values together. It's like bringing two friends together for a little party on your canvas - they join forces to create something new and beautiful. So, just add n and 12 together, and see what lovely result you get!
12 + n
The sum of a number and its negative (additive inverse) is zero. For any nonzero value n, n + (-n) = 0
There are three numbers. Their sum is 12-n + 12 + 12+n = 36 So their mean is 36/3 = 12.
Mean absolute deviation = sum[|x-mean(x)|]/n Where mean(x) = sum(x)/n and n is the number of observations. |y| denotes the absolute value of y.
2 (N + 3)
12 + n
Where n = any number, n(12+3)
The sum of a number and its negative (additive inverse) is zero. For any nonzero value n, n + (-n) = 0
0.3333
4/(n + 12)
There are three numbers. Their sum is 12-n + 12 + 12+n = 36 So their mean is 36/3 = 12.
Mean absolute deviation = sum[|x-mean(x)|]/n Where mean(x) = sum(x)/n and n is the number of observations. |y| denotes the absolute value of y.
8
2 (N + 3)
To find the missing number in a data set with a mean of 15, you need to know the total number of values (n) in the data set and the sum of the existing numbers. The mean is calculated as the sum of all values divided by n. If you have the sum of the existing numbers, you can rearrange the formula: missing number = (mean × n) - sum of existing numbers. Without additional information, the exact missing number cannot be determined.
0.3333
12 more than a number means: __+12 (a number plus 12). You can express this as an algebraic expression: n+12 or 12+n(n representing a number.)