I believe the correct answer is: Mean = 2.5 and S.D = 1.1145
Explanation:
Since we are given the probability distribution as below, we will go ahead and calculate the mean and standard deviation using the following formula:
E(X)= ∑xP(X=x)
Standard deviation = √Variance(x)
Var(x) = E(x²) - [E(x)]²
X 0 1 2 3 4 5
p(x=x) 0.032 0.152 0.316 0.316 0.152 0.032
First we have to find E(x)
E(x) = (0x0.032) + (1x0.152) + (2x0.316) + (3x0.316) + (0.152) + (5x0.032)
The answer therefore the mean E(x) = 2.5
To find variance, we use Var(x) = E(x²) - [E(x)]²
But we have to calculate E(x²) first since we already have found E(x)
So E(x²) = (0²x0.032) + (1²x0.152) + (2²x0.316) + (3²x0.316) + (4²x0.152) + (5²x0.032)
therefore E(x²) = 7.492
Now we have all the values we can calculate variance:
Var(x) = E(x²) - [E(x)]²
=7.492 - [2.5]²
= 1.242
With variance now we can find the standard deviation
S.D = √Var(x)
= √1.242
Answer = 1.1145