Assumed mean is a certain value that is chosen from the data set such that it can be subtracted from all other values to reduce the size of numbers in the data set.
An assumed mean is usually determined by guessing the number that could be used as the mean among the values in the data set.
It is like picking one of the numbers in the dataset and assuming it is the mean for the data. By looking at the data, we can guess a number close to the mean because mean, as a measure of central tendency, which most likely will be a number near the median of the data.
Take for instance the data set below.
89, 64, 56, 78, 88, 67, 72, 85, 70, 65, 64, 66, 72, 74, 76.
Arranging the data in ascending order we have
56, 64, 64, 65, 66, 67, 70, 72, 72, 74, 76, 78, 85, 88, 89.
Range= 89 – 56 =33
A method I find convenient to find a central data item is 56+(33/2) =56+17=73.
Now because we don’t have 73, I pick 72 as the assumed mean. And I will subtract 72 from each data item as in table below.

Now i get the summation of fd: ∑fd=-1
and mean of d= (∑fd)/(∑f) ≈ -0.06667
mean of x, x̄ = 72 + (-0.0667) = 71.9333
The sum of x has been done by a statistical software. Otherwise it could be time consuming and error prone and energy sucking to try and compute it manually. It has been recorded there for comparison purposes.
in a more general case, if we take an assumed mean A and subtract it from each data item x, then we get data items labelled with d such that d=x-A and the mean for the data expressed as:

Practice question
Using an assumed mean, calculate the mean of each of the following sets of data
(a)
0.655, 0.685, 0.705, 0.665, 0.695, 0.715, 0.375, 0.745, 0.755, 0.765, 0.745, 0.550, 0.450, 0.400, 0.425, 0.325, 0.775, 0.685, 0.695, 0.745
(b)
225, 400, 300, 225, , 525, 325, 600, 225, 325, 400, 525, 575, 625, 250, 650, 350, 475, 550, 575, 275, 375, 475, 475, 675, 400, 375, 275, 250.
Related Topics
- Introduction to statistics
- Measures of central tendency
- Line graphs
- Bar graphs
- Grouped and un-grouped data
- Frequency Polygons
- Histograms



