00:01
To solve this particular question, first we need to find the expected value.
00:04
Expected value can be calculated using the formula of summation of x times p of x, where x is the random variable that we have and p of x is the probability of that particular random variable.
00:17
Right, so if we calculate the expectation value, this can be calculated as let's say mu is equals to now for 0 .1, we have the probability as 1.
00:26
Right, for similarly 2, we have the probability as 0 .3, for 3, we have the probability as 0 .2 and for 4, we have probability 0 .4.
00:37
After finding this product, the expected value could be found as 2 .7.
00:42
In the next step, we need to calculate the variance which is sigma square.
00:46
Right, so this is our variance and sigma is the standard deviation which you can say which is root over of sigma square or you can say root over of variance.
01:00
Right, now simply to calculate the variance, variance can be formulated as summation of xi minus mu whole square times p of x...