Final answer:
The expected value for the number of heads in a single flip of a biased coin that lands heads 80% of the time is 0.80.
Step-by-step explanation:
The expected value of a random variable is a measure of the center of its distribution, calculated as the sum of all possible values each multiplied by the probability of occurrence. In the case of a biased coin flip where we denote the number of heads as X, and it is given that the coin lands as heads with a probability of 0.80 (or 80%), the expected value E(X) is calculated as follows:
- For X=1 (heads): P(X=1) = 0.80
- For X=0 (tails): P(X=0) = 0.20
The expected value E(X) is:
E(X) = (1 × P(X=1)) + (0 × P(X=0))
= (1 × 0.80) + (0 × 0.20)
= 0.80 + 0
= 0.80
Therefore, the expected value for the number of heads in one flip of a biased coin that lands heads 80% of the time is 0.80.