Answer:
The answer is c) 761.0
Explanation:
Mathematical hope (also known as hope, expected value, population means or simply means) expresses the average value of a random phenomenon and is denoted as E (x). Hope is the sum of the product of the probability of each event by the value of that event. It is then defined as shown in the image, Where x is the value of the event, P the probability of its occurrence, "i" the period in which said event occurs and N the total number of periods or observations.
The variance of a random variable provides an idea of the dispersion of the random variable with respect to its hope. It is then defined as shown in the image.
Then you first calculate E [x] and E [
], and then be able to calculate the variance.
![E[x]=0*(1)/(40) +10*(1)/(20) +50*(1)/(10) +100*(33)/(40)](https://img.qammunity.org/2020/formulas/mathematics/high-school/ivdd326nv9kbnyrjg1tw5c6tbgtr5mdxmc.png)
![E[x]=0+(1)/(2) +5+(165)/(2)](https://img.qammunity.org/2020/formulas/mathematics/high-school/3ikuypiagq5hmkw73x7kemsiilva57q8o6.png)
E[X]=88
So E[X]²=88²=7744
On the other hand
![E[x^(2) ]=0^(2) *(1)/(40) +10^(2) *(1)/(20) +50^(2) *(1)/(10) +100^(2) *(33)/(40)](https://img.qammunity.org/2020/formulas/mathematics/high-school/lhyztobascrqp2g5xxziacqe25ueaoeyd4.png)
E[x²]=0+5+250+8250
E[x²]=8505
Then the variance will be:
Var[x]=8505-7744
Var[x]=761