Answer:
[tex] c(1+2+4+5) =1[/tex]
[tex] c =\frac{1}{12}[/tex]
Now we can find the expected value with this formula:
[tex] E(Y) =\sum_{i=1}^n Y_i P(Y_i) =\sum_{i=1}^n cy_i *y_i = cy^2_i[/tex]
And replacing we got:
[tex] E(Y) = \frac{1}{12} (1^2 + 2^2 + 4^2 +5^2) = \frac{46}{12}= \frac{23}{6}[/tex]
Step-by-step explanation:
For this case we know the following probability mass function given:
[tex] P(y) = cy , y= 1,2,4,5[/tex]
For this case we need to satisfy the following condition in order to have a probability distribution function:
[tex]\sum_{i=1}^n P(y_i) =1[/tex]
And we have this:
[tex] c(1+2+4+5) =1[/tex]
[tex] c =\frac{1}{12}[/tex]
Now we can find the expected value with this formula:
[tex] E(Y) =\sum_{i=1}^n Y_i P(Y_i) =\sum_{i=1}^n cy_i *y_i = cy^2_i[/tex]
And replacing we got:
[tex] E(Y) = \frac{1}{12} (1^2 + 2^2 + 4^2 +5^2) = \frac{46}{12}= \frac{23}{6}[/tex]