<em>40</em>
- Step-by-step explanation:
<em>2 + 10 = 24</em>
<em>2(2 + 10) = 2×12 = 24</em>
<em>3 + 6 = 27</em>
<em>3(3 + 6) = 3×9 = 27</em>
<em>7 + 2 = 63</em>
<em>7(7 + 2) = 7×9 = 63</em>
<em>5 + 3 = 40</em>
<em>5(5 + 3) = 5×8 = 40</em>
Answer:
1
Step-by-step explanation:
I believe the answer is one but I'm not 100% sure
-2= y-4
——
0-2
-2= y-4
——
-2
(y-4)•-2 = -2
-2y+8=-2
-2y=-10
————
-2
y=5
hope this helps
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
