Answer:
5.31
Step-by-step explanation:
The expected value of a probability distribution is:

where x is the number of trials (or rating in this case)
p(x) is the probability of success
For outcome 1:
x = 7, p(x) = 0.33
For outcome 2:
x = 4, p(x) = 0.25
For outcome 3:
x = -5, p(x) = 0.18
For outcome 4:
x = 10, p(x) = 0.19
For outcome 5:
x = 0.05, p(x) = 20
Substituting these values in the expected value formula for probability distribution
