Answer:
[tex] E(X) = \sum_{i=1}^n X_i P(X_i)[/tex]
And replacing we got:
[tex] E(X) = 1 *\frac{2}{7} + 2*\frac{0}{7}+ 3*\frac{3}{7} + 4*\frac{1}{7}+ 5*\frac{1}{7} =\frac{20}{7}[/tex]
Now we can find the econd moment given by this formula:
[tex] E(X^2) = \sum_{i=1}^n X^2_i P(X_i)[/tex]
And replacing we got:
[tex] E(X^2) = 1^2 *\frac{2}{7} + 2^2*\frac{0}{7}+ 3^2*\frac{3}{7} + 4^2*\frac{1}{7}+ 5^2*\frac{1}{7} =\frac{70}{7}[/tex]
And we can find the variance with this formula:
[tex] Var(X) = E(X^2) -[E(X)]^2 = \frac{70}{7} -(\frac{20}{7})^2 = 1.9[/tex]
And the best answer would be:
Var (X) =1.9
Step-by-step explanation:
For this case we assume the following distribution obtained from internet:
X F p
1 2 2/7
2 0 0/7
3 3 3/7
4 1 1/7
5 1 1/7
_________
Tot 7 1
We can begin finding the expected value with this formula:
[tex] E(X) = \sum_{i=1}^n X_i P(X_i)[/tex]
And replacing we got:
[tex] E(X) = 1 *\frac{2}{7} + 2*\frac{0}{7}+ 3*\frac{3}{7} + 4*\frac{1}{7}+ 5*\frac{1}{7} =\frac{20}{7}[/tex]
Now we can find the econd moment given by this formula:
[tex] E(X^2) = \sum_{i=1}^n X^2_i P(X_i)[/tex]
And replacing we got:
[tex] E(X^2) = 1^2 *\frac{2}{7} + 2^2*\frac{0}{7}+ 3^2*\frac{3}{7} + 4^2*\frac{1}{7}+ 5^2*\frac{1}{7} =\frac{70}{7}[/tex]
And we can find the variance with this formula:
[tex] Var(X) = E(X^2) -[E(X)]^2 = \frac{70}{7} -(\frac{20}{7})^2 = 1.9[/tex]
And the best answer would be:
Var (X) =1.9