The sample variance of a real-valued random variable is its next to central moment in sample space, and it also happens to be its second cumulant in sample. Such as some distributions not having a mean, some not having a variance. The mean exists whenever the variance exists.Let us see about sample variance.
1)Find out the variance of the following distributions?
X |
0 |
1 |
2 |
P(X)= x |
0.25 |
.20 |
.25 |
Solution:
2)What is the variance of following distribution?
X |
0 |
1 |
2 |
P(X)= x |
0.15 |
.20 |
.35 |
Solution:
These are some of the examples on sample variance.