Final answer:
The probability that a randomly selected customer whose age is between 10 and 20 would not like to see the toy department expanded can be determined using complementary events.
Step-by-step explanation:
The probability that a randomly selected customer, whose age is between 10 and 20, would not like to see the toy department expanded can be determined using the concept of complementary events. Let's assume that the probability of a customer liking to see the toy department expanded is P(L). The probability that a customer would not like to see the expansion (P(not L)) would be equal to 1 minus the probability of liking the expansion, i.e., P(not L) = 1 - P(L).
To compute the desired probability, we need information on the percentage or number of customers who like or dislike the expansion. Once we have that information, we can substitute it into the formula to find the probability.
For example, if 80% of customers like to see the toy department expanded, then the probability of not liking it would be 1 - 0.8 = 0.2, or 20%.
Learn more about Probability and Complementary Events