Final answer:
The mean of the probability mass function is 0, and the variance is 4/3.
Step-by-step explanation:
To determine the mean and variance of the given probability mass function (PMF), we follow these steps:
- Calculate the mean (also known as the expected value) by multiplying each value of the random variable (x) by its corresponding probability (f(x)) and then summing up all these products.
- For the variance, we calculate the expected value of the squared deviations from the mean (E[(X - μ)^2]), which means we square each value of x, multiply by its probability, and sum these values up. Then we subtract the square of the mean (μ^2).
The calculation for the mean is as follows:
E[X] = (-2)*(1/9) + (-1)*(2/9) + (0)*(3/9) + (1)*(2/9) + (2)*(1/9) = -2/9 + -2/9 + 0 + 2/9 + 2/9 = 0
So the mean (μ) is 0.
The calculation for the variance is:
Variance = E[X^2] - (μ)^2 = ((-2)^2*(1/9) + (-1)^2*(2/9) + (0)^2*(3/9) + (1)^2*(2/9) + (2)^2*(1/9)) - 0^2
Variance = (4*(1/9) + 1*(2/9) + 0*(3/9) + 1*(2/9) + 4*(1/9)) - 0
Variance = (4/9 + 2/9 + 0 + 2/9 + 4/9) = 12/9 = 4/3
Therefore, the variance of the random variable is 4/3.