Answer:
The answer is below
Explanation:
Probability distribution are statistical function that shows all the possible outcomes of a random variable within a given range of values.
a) The mean ([tex]\bar x[/tex]) of a probability distribution of a discrete random variable is:
[tex]\bar x=\Sigma\ [xP(x)][/tex] = (0 * 0.8) + (1 * 0.15) + (2 * 0.04) + (3 * 0.01) = 0.26
b) The standard deviation (σ) of a probability distribution of a discrete random variable is:
[tex]\sigma=\sqrt{ \Sigma\ [(x-\bar x)^2*P(x)]}\\\\\sigma=\sqrt{(0-0.26)^2*0.8+(1-0.26)^2*0.15+(2-0.26)^2*0.04+(3-0.26)^2*0.01} \\\\\sigma=0.577[/tex]