Answer:
Kindly check explanation
Explanation:
Given the data :
x: ____ 1____ 2____ 4____ 8____ 16
p(x): _0.05_ 0.15__ 0.25__0.30__ 0.25
E(X) : Σ[(X). P(X)]
Σ(1*0.05) + (2*0.15) + (4*0.25) + (8*0.30) + (16 * 0.25)
= 7.75
B)
E(x) = u = 7.75
Var(X) = E[(x - u)²*p(x)] = (1 - 7.75)^2 * 0.05 + (2 - 7.75)^2 * 0.15 + (4 - 7.75)^2 * 0.25 + (8 - 7.75)^2 * 0.30 + (16 - 7.75)^2 * 0.25 = 27.7875
C)
Standard deviation (s)
s = √Var(x)
s= √27.7875
s = 5.271
D)
VAR(X) = E(X²) - (E(X))²
E(X²) = Σx²*p(x)
E(X²) = Σ(1^2 * 0.05 + 2^2 * 0.15 + 4^2 * 0.25 + 8^2 * 0.30 + 16^2 * 0.25) = 87.85
V(X) = E(X^2) - (E(X))^2 = 87.85 - 7.75^2 = 27.7875