Example. Taco Villa makes many tacos per day, and they almost always get each customer’s taco order correct. On 75% of the days, they get every taco order correct, and on the other 25%, they get at least one taco order wrong. What is the probability that tomorrow, Taco Villa gets exactly 3 taco orders wrong?
W = # of taco orders get wrong tomorrow.
Not .25 chance they get each order wrong. We don’t n or p, but we know n is large, p is small.
Section 3.3
Expectation
Discrete Random Variables
Suppose that a discrete distribution on
Expectation/Mean/Average
Suppose
is a discrete random variable w/ pmf . Its expectation/mean/average is the real number
Example. Let
expectation doesn’t have to be a possible value
Examples.
- Suppose
. Calculate .
- Suppose
. Calculate .
to be continued… - Suppose
. Calculate .
4. Suppose
Theorem: Expectation is linear: If are random variables defined on the same probability space and , then
and
Proof.
Example. We return to