Answer :
The expected value and standard deviation of the total number of silver wrappers=32,4.29
Step-by-step explanation:
Step 1
Let X represent holiday 1 binomial and Y represent holiday 2.
X + Y represent the total
[tex]X=binomial(40,0.3)\\Y=binomial(40,0.5)[/tex]
Step 2
For any distribution if they are independent, the mean of the sum is just the sum of the means.
[tex]Mean(X+Y)=Mean(X)+Mean(Y)[/tex]
Step 3
Mean of a binomial distribution is calculated to be n * p
[tex]Mean(x)=40*0.3=12\\Mean(Y)=40*0.5=20\\Mean(X+Y)=(12+20)=32[/tex]
Step 4
Since both holidays are independent, the variance of the total is just the sum of the variances
[tex]Var(X+Y)=Var(X)+var(Y)[/tex]
Step 5
Variance of a binomial distribution is calculated to be n * p * (1-p). Side note, variance for a binomial distribution is maximized when p = 0.5
[tex]Var(X)=(40*0.3)*(1-0.3)=8.4\\Var(Y)=(40*0.5)*(0.5)=10\\\\Var(X+Y)=10+8.4=18.4[/tex]
Step 6
We calculate standard deviation, by taking the square root of the variance
[tex]SD(X+Y)=\sqrt{Var(X+Y)} =4.29[/tex]
Step 7
The expected value and standard deviation of the total number of silver wrappers=32,4.29