Mean:
E[Y] = E[3X₁ + X₂]
E[Y] = 3 E[X₁] + E[X₂]
E[Y] = 3µ + µ
E[Y] = 4µ
Variance:
Var[Y] = Var[3X₁ + X₂]
Var[Y] = 3² Var[X₁] + 2 Covar[X₁, X₂] + 1² Var[X₂]
(the covariance is 0 since X₁ and X₂ are independent)
Var[Y] = 9 Var[X₁] + Var[X₂]
Var[Y] = 9σ² + σ²
Var[Y] = 10σ²
Step-by-step explanation:
k/4=33/20
k=33/20×4
k=33/5
If there was a chart with this that would be helpful but at this time with the information you have given you can not solve this problem
Let’s let s = sale price per package
r = =regular price per package
c = cost savings.
Answer: c= 3r – 3s
