MEAN |
MEDIAN |
MODE |
STANDARD DEVIATION |
MEAN DEVIATION |
VARIABILITY |
AVERAGE |
Mean is the most commonly used measure of central tendency. It actually represents the average of the given collection of data. It is applicable for both continuous and discrete data.
It is equal to the sum of all the values in the collection of data divided by the total number of values.
Suppose we have n values in a set of data namely as x1,x2,x3……………….xn then the mean of data is given by:
x¯= x1+x2+x3+……..+xnn
It can also be denoted as:
<m> {Sigma^n{_i=1}x_i}/n </m>
S.No | Name | Runs Scored |
---|---|---|
1 | Alexander | 80 |
2 | Aladdin | 52 |
3 | Anastasia | 40 |
4 | Anushka | 52 |
5 | Katrina | 70 |
6 | Nikita | 1 |
7 | Aryan | 6 |
Name | Nikita | Aryan | Anastasia | Aladdin | Anushka | Katrina | Alexander |
---|---|---|---|---|---|---|---|
Runs | 1 | 6 | 40 | 52 | 52 | 70 | 80 |
⇒ Median = (7+1/2)th observation = 52
Range – Highest value – Lowest value