Final answer:
The scenario of 25 trials with a success probability of 0.44 each is a binomial probability distribution, making the statement true.
Step-by-step explanation:
The question seems to have a typo, but it refers to conducting 25 trials with a success probability of 0.44 in each trial. This scenario suggests a binomial probability problem. A binomial probability distribution has specific characteristics such as a fixed number of trials, only two possible outcomes for each trial, and independent trials with the likelihood of success being the same for all.
The given situation satisfies these criteria, as the number of trials is fixed at 25, there are only two possible outcomes (success or failure), and the probability of success is constant at 0.44. Therefore, the statement is true.
Calculating the probability of a specific number of successes can be done using the binomial probability formula, which for a general case is P(X=k) = (n choose k) * p^k * (1-p)^(n-k), where 'n' is the number of trials, 'k' is the number of successes, and 'p' is the probability of success.