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Last Updated Sep 26, 2025
Revision notes with simplified explanations to understand Basic Statistical Measures quickly and effectively.
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A measure of location in a data set (e.g., mean, median, mode, etc.) tells us things about the position of certain features of the data set (e.g., centre for mean, median, or the peak for mode). The word "average" means "measure of location," but typically refers to a measure of centrality.
The Greek letter capital Sigma ('') means "sum of."
Example 1:
Example 2: If , we can say
means sum all of the values starting with and finishing at
So,
Example 3: If
Example 4: For the above , we say is the sum of all y values
i.e.,
The mean measures the centre of a data set and uses all data. It has the formula:
where (pronounced x-bar) denotes the mean of represents the individual elements of the list, and is the length of the list.
This is another measure of the centre of a data set but only uses a single data point. To find the median of a list, we:
Example: Calculate the median of ().
Given = :
This means the median is at position in the list, i.e., halfway between the 3rd and 4th item.
Using the set ()
Input data ignoring freq column
Mean | Median |
---|---|
Uses all data | Uses only a single point |
Best when the data has no extreme outliers | Ignores extreme outliers so better for such data |
To calculate the quartiles in a list of data, we follow these steps:
We include this, and the median lies between positions and :
Note: In the case that the original list is of odd length, the two sublists are formed with the median in the middle:
Example list:
IQR Formula:
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