176k views
1 vote
Is my answer correct? if not can you please tell me the right one and why it is wrong?

Is my answer correct? if not can you please tell me the right one and why it is wrong-example-1

1 Answer

1 vote

Answer:

1.0

Explanation:

To find the variance of the probability distribution, we make use of the formula:


\sigma^2=\sum x^2P(x)-\mu^2

First, find the expected value, i.e mean of the distribution.


\mu=\sum xP(x)

From the table, the mean of the distribution = -0.60.

Next, we find the variance.

From the table:


\sum x^2P(x)=1.36

Therefore:


\implies\sigma^2=\sum x^2P(x)-\mu^2=1.36-(-0.60)^2=1.36-0.36=1

The variance of the probability distribution is 1.0

Is my answer correct? if not can you please tell me the right one and why it is wrong-example-1
Is my answer correct? if not can you please tell me the right one and why it is wrong-example-2
User Nataraj
by
5.7k points