Final answer:
The probability that exactly 5 out of the 25 randomly sampled customers are satisfied with their cell phone coverage is different from 20% because the sample proportion is not necessarily the same as the population proportion.
Step-by-step explanation:
The probability that exactly 5 out of the 25 randomly sampled customers are satisfied with their cell phone coverage is different from 20% because the sample proportion is not necessarily the same as the population proportion. The sample proportion refers to the proportion of satisfied customers in the specific sample, while the population proportion refers to the proportion of satisfied customers in the entire population. Therefore, the probability of obtaining exactly 5 satisfied customers in the sample may be higher or lower than 20% depending on the actual population proportion.